Análisis Eploratorio de Data: Spike Banco Central

Dataset statistics

Number of variables	85
Number of observations	614
Missing cells	37101
Missing cells (%)	71.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	407.9 KiB
Average record size in memory	680.2 B

Variable types

Categorical	77
Numeric	8

Warnings

`Periodo` has a high cardinality: 612 distinct values	High cardinality
`Imacec_empalmado` has a high cardinality: 298 distinct values	High cardinality
`Imacec_produccion_de_bienes` has a high cardinality: 298 distinct values	High cardinality
`Imacec_minero` has a high cardinality: 298 distinct values	High cardinality
`Imacec_industria` has a high cardinality: 299 distinct values	High cardinality
`Imacec_resto_de_bienes` has a high cardinality: 298 distinct values	High cardinality
`Imacec_comercio` has a high cardinality: 299 distinct values	High cardinality
`Imacec_servicios` has a high cardinality: 298 distinct values	High cardinality
`Imacec_a_costo_de_factores` has a high cardinality: 298 distinct values	High cardinality
`Imacec_no_minero` has a high cardinality: 298 distinct values	High cardinality
`PIB_Agropecuario_silvicola` has a high cardinality: 94 distinct values	High cardinality
`PIB_Pesca` has a high cardinality: 93 distinct values	High cardinality
`PIB_Mineria` has a high cardinality: 93 distinct values	High cardinality
`PIB_Mineria_del_cobre` has a high cardinality: 93 distinct values	High cardinality
`PIB_Otras_actividades_mineras` has a high cardinality: 94 distinct values	High cardinality
`PIB_Industria_Manufacturera` has a high cardinality: 94 distinct values	High cardinality
`PIB_Alimentos` has a high cardinality: 93 distinct values	High cardinality
`PIB_Bebidas_y_tabaco` has a high cardinality: 93 distinct values	High cardinality
`PIB_Textil` has a high cardinality: 93 distinct values	High cardinality
`PIB_Maderas_y_muebles` has a high cardinality: 93 distinct values	High cardinality
`PIB_Celulosa` has a high cardinality: 93 distinct values	High cardinality
`PIB_Refinacion_de_petroleo` has a high cardinality: 93 distinct values	High cardinality
`PIB_Quimica` has a high cardinality: 94 distinct values	High cardinality
`PIB_Minerales_no_metalicos_y_metalica_basica` has a high cardinality: 94 distinct values	High cardinality
`PIB_Productos_metalicos` has a high cardinality: 93 distinct values	High cardinality
`PIB_Electricidad` has a high cardinality: 93 distinct values	High cardinality
`PIB_Construccion` has a high cardinality: 93 distinct values	High cardinality
`PIB_Comercio` has a high cardinality: 93 distinct values	High cardinality
`PIB_Restaurantes_y_hoteles` has a high cardinality: 93 distinct values	High cardinality
`PIB_Transporte` has a high cardinality: 93 distinct values	High cardinality
`PIB_Comunicaciones` has a high cardinality: 93 distinct values	High cardinality
`PIB_Servicios_financieros` has a high cardinality: 93 distinct values	High cardinality
`PIB_Servicios_empresariales` has a high cardinality: 93 distinct values	High cardinality
`PIB_Servicios_de_vivienda` has a high cardinality: 93 distinct values	High cardinality
`PIB_Servicios_personales` has a high cardinality: 93 distinct values	High cardinality
`PIB_Administracion_publica` has a high cardinality: 93 distinct values	High cardinality
`PIB_a_costo_de_factores` has a high cardinality: 93 distinct values	High cardinality
`Impuesto_al_valor_agregado` has a high cardinality: 93 distinct values	High cardinality
`Derechos_de_Importacion` has a high cardinality: 93 distinct values	High cardinality
`PIB` has a high cardinality: 93 distinct values	High cardinality
`Precio_de_la_gasolina_en_EEUU_dolaresm3` has a high cardinality: 581 distinct values	High cardinality
`Precio_del_cobre_refinado_BML_dolareslibra` has a high cardinality: 474 distinct values	High cardinality
`Precio_del_kerosene_dolaresm3` has a high cardinality: 250 distinct values	High cardinality
`Tipo_de_cambio_del_dolar_observado_diario` has a high cardinality: 460 distinct values	High cardinality
`Ocupados` has a high cardinality: 128 distinct values	High cardinality
`Ocupacion_en_Agricultura_INE` has a high cardinality: 92 distinct values	High cardinality
`Ocupacion_en_Explotacion_de_minas_y_canteras_INE` has a high cardinality: 93 distinct values	High cardinality
`Ocupacion_en_Industrias_manufactureras_INE` has a high cardinality: 92 distinct values	High cardinality
`Ocupacion_en_Suministro_de_electricidad_INE` has a high cardinality: 93 distinct values	High cardinality
`Ocupacion_en_Actividades_de_servicios_administrativos_y_de_apoyo_INE` has a high cardinality: 92 distinct values	High cardinality
`Ocupacion_en_Actividades_profesionales_INE` has a high cardinality: 92 distinct values	High cardinality
`Ocupacion_en_Actividades_inmobiliarias_INE` has a high cardinality: 92 distinct values	High cardinality
`Ocupacion_en_Actividades_financieras_y_de_seguros_INE` has a high cardinality: 92 distinct values	High cardinality
`Ocupacion_en_Informacion_y_comunicaciones_INE` has a high cardinality: 93 distinct values	High cardinality
`Ocupacion_en_Transporte_y_almacenamiento_INE` has a high cardinality: 92 distinct values	High cardinality
`Ocupacion_en_Actividades_de_alojamiento_y_de_servicio_de_comidas_INE` has a high cardinality: 92 distinct values	High cardinality
`Ocupacion_en_Construccion_INE` has a high cardinality: 92 distinct values	High cardinality
`Ocupacion_en_Comercio_INE` has a high cardinality: 92 distinct values	High cardinality
`Ocupacion_en_Suministro_de_agua_evacuacion_de_aguas_residuales_INE` has a high cardinality: 93 distinct values	High cardinality
`Ocupacion_en_Administracion_publica_y_defensa_INE` has a high cardinality: 92 distinct values	High cardinality
`Ocupacion_en_Enseanza_INE` has a high cardinality: 92 distinct values	High cardinality
`Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` has a high cardinality: 92 distinct values	High cardinality
`Ocupacion_en_Actividades_artisticas_INE` has a high cardinality: 92 distinct values	High cardinality
`Ocupacion_en_Otras_actividades_de_servicios_INE` has a high cardinality: 93 distinct values	High cardinality
`Ocupacion_en_Actividades_de_los_hogares_como_empleadores_INE` has a high cardinality: 92 distinct values	High cardinality
`Ocupacion_en_Actividades_de_organizaciones_y_organos_extraterritoriales_INE` has a high cardinality: 89 distinct values	High cardinality
`Tipo_de_cambio_nominal_multilateral___TCM` has a high cardinality: 311 distinct values	High cardinality
`Indice_de_tipo_de_cambio_real___TCR_promedio_1986_100` has a high cardinality: 418 distinct values	High cardinality
`Indice_de_produccion_industrial` has a high cardinality: 142 distinct values	High cardinality
`Indice_de_produccion_industrial__mineria` has a high cardinality: 355 distinct values	High cardinality
`Indice_de_produccion_industrial_electricidad__gas_y_agua` has a high cardinality: 82 distinct values	High cardinality
`Indice_de_produccion_industrial__manufacturera` has a high cardinality: 340 distinct values	High cardinality
`Generacion_de_energia_electrica_CDEC_GWh` has a high cardinality: 262 distinct values	High cardinality
`Indice_de_ventas_comercio_real_IVCM` has a high cardinality: 82 distinct values	High cardinality
`Indice_de_ventas_comercio_real_no_durables_IVCM` has a high cardinality: 82 distinct values	High cardinality
`Indice_de_ventas_comercio_real_durables_IVCM` has a high cardinality: 83 distinct values	High cardinality
`Precio_de_la_onza_troy_de_oro_dolaresoz` is highly correlated with `Precio_de_la_onza_troy_de_plata_dolaresoz` and 2 other fields	High correlation
`Precio_de_la_onza_troy_de_plata_dolaresoz` is highly correlated with `Precio_de_la_onza_troy_de_oro_dolaresoz` and 2 other fields	High correlation
`Precio_del_diesel_centavos_de_dolargalon` is highly correlated with `Precio_del_petroleo_Brent_dolaresbarril` and 2 other fields	High correlation
`Precio_del_gas_natural_dolaresmillon_de_unidades_termicas_britanicas` is highly correlated with `Precio_del_propano_centavos_de_dolargalon_DTN`	High correlation
`Precio_del_petroleo_Brent_dolaresbarril` is highly correlated with `Precio_de_la_onza_troy_de_oro_dolaresoz` and 4 other fields	High correlation
`Precio_del_petroleo_WTI_dolaresbarril` is highly correlated with `Precio_de_la_onza_troy_de_oro_dolaresoz` and 4 other fields	High correlation
`Precio_del_propano_centavos_de_dolargalon_DTN` is highly correlated with `Precio_del_diesel_centavos_de_dolargalon` and 3 other fields	High correlation
`Precio_de_la_onza_troy_de_oro_dolaresoz` is highly correlated with `Precio_de_la_onza_troy_de_plata_dolaresoz` and 3 other fields	High correlation
`Precio_de_la_onza_troy_de_plata_dolaresoz` is highly correlated with `Precio_de_la_onza_troy_de_oro_dolaresoz` and 2 other fields	High correlation
`Precio_del_diesel_centavos_de_dolargalon` is highly correlated with `Precio_del_petroleo_Brent_dolaresbarril` and 2 other fields	High correlation
`Precio_del_gas_natural_dolaresmillon_de_unidades_termicas_britanicas` is highly correlated with `Precio_de_la_onza_troy_de_oro_dolaresoz` and 1 other fields	High correlation
`Precio_del_petroleo_Brent_dolaresbarril` is highly correlated with `Precio_de_la_onza_troy_de_oro_dolaresoz` and 4 other fields	High correlation
`Precio_del_petroleo_WTI_dolaresbarril` is highly correlated with `Precio_de_la_onza_troy_de_oro_dolaresoz` and 4 other fields	High correlation
`Precio_del_propano_centavos_de_dolargalon_DTN` is highly correlated with `Precio_del_diesel_centavos_de_dolargalon` and 3 other fields	High correlation
`Precio_de_la_onza_troy_de_oro_dolaresoz` is highly correlated with `Precio_de_la_onza_troy_de_plata_dolaresoz`	High correlation
`Precio_de_la_onza_troy_de_plata_dolaresoz` is highly correlated with `Precio_de_la_onza_troy_de_oro_dolaresoz` and 2 other fields	High correlation
`Precio_del_diesel_centavos_de_dolargalon` is highly correlated with `Precio_del_petroleo_Brent_dolaresbarril` and 2 other fields	High correlation
`Precio_del_gas_natural_dolaresmillon_de_unidades_termicas_britanicas` is highly correlated with `Precio_del_propano_centavos_de_dolargalon_DTN`	High correlation
`Precio_del_petroleo_Brent_dolaresbarril` is highly correlated with `Precio_de_la_onza_troy_de_plata_dolaresoz` and 3 other fields	High correlation
`Precio_del_petroleo_WTI_dolaresbarril` is highly correlated with `Precio_de_la_onza_troy_de_plata_dolaresoz` and 3 other fields	High correlation
`Precio_del_propano_centavos_de_dolargalon_DTN` is highly correlated with `Precio_del_diesel_centavos_de_dolargalon` and 3 other fields	High correlation
`Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` is highly correlated with `Precio_del_diesel_centavos_de_dolargalon` and 61 other fields	High correlation
`Precio_del_diesel_centavos_de_dolargalon` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 60 other fields	High correlation
`PIB_Productos_metalicos` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`Ocupacion_en_Actividades_de_alojamiento_y_de_servicio_de_comidas_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`PIB_Servicios_empresariales` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`PIB_Construccion` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`PIB_Refinacion_de_petroleo` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`PIB_Celulosa` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`Ocupacion_en_Industrias_manufactureras_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`Ocupacion_en_Actividades_financieras_y_de_seguros_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`Ocupacion_en_Transporte_y_almacenamiento_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`Ocupacion_en_Comercio_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`PIB_Servicios_financieros` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`Ocupacion_en_Otras_actividades_de_servicios_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`Ocupacion_en_Actividades_de_los_hogares_como_empleadores_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`Ocupacion_en_Explotacion_de_minas_y_canteras_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`PIB_Administracion_publica` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`PIB_Textil` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`PIB_Otras_actividades_mineras` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`PIB_Transporte` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`PIB_Minerales_no_metalicos_y_metalica_basica` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`Ocupacion_en_Informacion_y_comunicaciones_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`Ocupacion_en_Administracion_publica_y_defensa_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`Indice_de_produccion_industrial_electricidad__gas_y_agua` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`Ocupacion_en_Enseanza_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`PIB_Comercio` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`PIB_a_costo_de_factores` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`PIB_Mineria` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`Ocupacion_en_Agricultura_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`PIB_Servicios_personales` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`PIB` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`Ocupacion_en_Construccion_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`Ocupacion_en_Actividades_artisticas_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`Ocupacion_en_Actividades_profesionales_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`Ocupacion_en_Suministro_de_electricidad_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`Indice_de_ventas_comercio_real_durables_IVCM` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`Ocupacion_en_Suministro_de_agua_evacuacion_de_aguas_residuales_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 59 other fields	High correlation
`Indice_de_ventas_comercio_real_no_durables_IVCM` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`Indice_de_ventas_comercio_real_IVCM` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`PIB_Mineria_del_cobre` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`PIB_Maderas_y_muebles` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`Precio_de_la_onza_troy_de_oro_dolaresoz` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 59 other fields	High correlation
`PIB_Quimica` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`PIB_Industria_Manufacturera` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`PIB_Agropecuario_silvicola` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`Precio_del_petroleo_Brent_dolaresbarril` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 60 other fields	High correlation
`PIB_Restaurantes_y_hoteles` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`Ventas_autos_nuevos` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 57 other fields	High correlation
`PIB_Pesca` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`Precio_del_propano_centavos_de_dolargalon_DTN` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 60 other fields	High correlation
`Ocupacion_en_Actividades_de_organizaciones_y_organos_extraterritoriales_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 58 other fields	High correlation
`PIB_Servicios_de_vivienda` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`PIB_Alimentos` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`No_sabe__No_responde_Miles_de_personas` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`Precio_del_petroleo_WTI_dolaresbarril` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 60 other fields	High correlation
`Derechos_de_Importacion` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`PIB_Bebidas_y_tabaco` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`Ocupacion_en_Actividades_de_servicios_administrativos_y_de_apoyo_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`Precio_de_la_onza_troy_de_plata_dolaresoz` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 60 other fields	High correlation
`Impuesto_al_valor_agregado` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`Ocupacion_en_Actividades_inmobiliarias_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`PIB_Comunicaciones` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`PIB_Electricidad` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 61 other fields	High correlation
`Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` is highly correlated with `PIB_Productos_metalicos` and 54 other fields	High correlation
`PIB_Productos_metalicos` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`Ocupacion_en_Actividades_de_alojamiento_y_de_servicio_de_comidas_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`PIB_Servicios_empresariales` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`PIB_Construccion` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`PIB_Refinacion_de_petroleo` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`PIB_Celulosa` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`Ocupacion_en_Industrias_manufactureras_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`Ocupacion_en_Actividades_financieras_y_de_seguros_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`Ocupacion_en_Transporte_y_almacenamiento_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`Ocupacion_en_Comercio_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`PIB_Servicios_financieros` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`Ocupacion_en_Otras_actividades_de_servicios_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`Ocupacion_en_Actividades_de_los_hogares_como_empleadores_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`Ocupacion_en_Explotacion_de_minas_y_canteras_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`PIB_Administracion_publica` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`PIB_Textil` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`PIB_Otras_actividades_mineras` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`PIB_Transporte` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`PIB_Minerales_no_metalicos_y_metalica_basica` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`Ocupacion_en_Informacion_y_comunicaciones_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`Ocupacion_en_Administracion_publica_y_defensa_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`Indice_de_produccion_industrial_electricidad__gas_y_agua` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`Ocupacion_en_Enseanza_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`PIB_Comercio` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`PIB_a_costo_de_factores` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`PIB_Mineria` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`Ocupacion_en_Agricultura_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`PIB_Servicios_personales` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`PIB` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`Ocupacion_en_Construccion_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`Ocupacion_en_Actividades_artisticas_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`Ocupacion_en_Actividades_profesionales_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`Ocupacion_en_Suministro_de_electricidad_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`Indice_de_ventas_comercio_real_durables_IVCM` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`Ocupacion_en_Suministro_de_agua_evacuacion_de_aguas_residuales_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`Indice_de_ventas_comercio_real_no_durables_IVCM` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`Indice_de_ventas_comercio_real_IVCM` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`PIB_Mineria_del_cobre` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`PIB_Maderas_y_muebles` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`PIB_Quimica` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`PIB_Industria_Manufacturera` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`PIB_Agropecuario_silvicola` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`PIB_Restaurantes_y_hoteles` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`PIB_Pesca` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`Ocupacion_en_Actividades_de_organizaciones_y_organos_extraterritoriales_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`PIB_Servicios_de_vivienda` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`PIB_Alimentos` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`No_sabe__No_responde_Miles_de_personas` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`Derechos_de_Importacion` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`PIB_Bebidas_y_tabaco` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`Ocupacion_en_Actividades_de_servicios_administrativos_y_de_apoyo_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`Impuesto_al_valor_agregado` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`Ocupacion_en_Actividades_inmobiliarias_INE` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`PIB_Comunicaciones` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`PIB_Electricidad` is highly correlated with `Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` and 54 other fields	High correlation
`Imacec_empalmado` has 314 (51.1%) missing values	Missing
`Imacec_produccion_de_bienes` has 314 (51.1%) missing values	Missing
`Imacec_minero` has 314 (51.1%) missing values	Missing
`Imacec_industria` has 313 (51.0%) missing values	Missing
`Imacec_resto_de_bienes` has 314 (51.1%) missing values	Missing
`Imacec_comercio` has 313 (51.0%) missing values	Missing
`Imacec_servicios` has 314 (51.1%) missing values	Missing
`Imacec_a_costo_de_factores` has 314 (51.1%) missing values	Missing
`Imacec_no_minero` has 314 (51.1%) missing values	Missing
`PIB_Agropecuario_silvicola` has 518 (84.4%) missing values	Missing
`PIB_Pesca` has 519 (84.5%) missing values	Missing
`PIB_Mineria` has 519 (84.5%) missing values	Missing
`PIB_Mineria_del_cobre` has 519 (84.5%) missing values	Missing
`PIB_Otras_actividades_mineras` has 518 (84.4%) missing values	Missing
`PIB_Industria_Manufacturera` has 515 (83.9%) missing values	Missing
`PIB_Alimentos` has 519 (84.5%) missing values	Missing
`PIB_Bebidas_y_tabaco` has 519 (84.5%) missing values	Missing
`PIB_Textil` has 519 (84.5%) missing values	Missing
`PIB_Maderas_y_muebles` has 519 (84.5%) missing values	Missing
`PIB_Celulosa` has 519 (84.5%) missing values	Missing
`PIB_Refinacion_de_petroleo` has 519 (84.5%) missing values	Missing
`PIB_Quimica` has 516 (84.0%) missing values	Missing
`PIB_Minerales_no_metalicos_y_metalica_basica` has 518 (84.4%) missing values	Missing
`PIB_Productos_metalicos` has 519 (84.5%) missing values	Missing
`PIB_Electricidad` has 519 (84.5%) missing values	Missing
`PIB_Construccion` has 519 (84.5%) missing values	Missing
`PIB_Comercio` has 519 (84.5%) missing values	Missing
`PIB_Restaurantes_y_hoteles` has 519 (84.5%) missing values	Missing
`PIB_Transporte` has 519 (84.5%) missing values	Missing
`PIB_Comunicaciones` has 519 (84.5%) missing values	Missing
`PIB_Servicios_financieros` has 519 (84.5%) missing values	Missing
`PIB_Servicios_empresariales` has 519 (84.5%) missing values	Missing
`PIB_Servicios_de_vivienda` has 519 (84.5%) missing values	Missing
`PIB_Servicios_personales` has 519 (84.5%) missing values	Missing
`PIB_Administracion_publica` has 519 (84.5%) missing values	Missing
`PIB_a_costo_de_factores` has 519 (84.5%) missing values	Missing
`Impuesto_al_valor_agregado` has 519 (84.5%) missing values	Missing
`Derechos_de_Importacion` has 519 (84.5%) missing values	Missing
`PIB` has 519 (84.5%) missing values	Missing
`Precio_de_la_gasolina_en_EEUU_dolaresm3` has 20 (3.3%) missing values	Missing
`Precio_del_diesel_centavos_de_dolargalon` has 442 (72.0%) missing values	Missing
`Precio_del_gas_natural_dolaresmillon_de_unidades_termicas_britanicas` has 361 (58.8%) missing values	Missing
`Precio_del_petroleo_Brent_dolaresbarril` has 361 (58.8%) missing values	Missing
`Precio_del_kerosene_dolaresm3` has 361 (58.8%) missing values	Missing
`Precio_del_petroleo_WTI_dolaresbarril` has 161 (26.2%) missing values	Missing
`Precio_del_propano_centavos_de_dolargalon_DTN` has 457 (74.4%) missing values	Missing
`Tipo_de_cambio_del_dolar_observado_diario` has 152 (24.8%) missing values	Missing
`Ocupados` has 484 (78.8%) missing values	Missing
`Ocupacion_en_Agricultura_INE` has 520 (84.7%) missing values	Missing
`Ocupacion_en_Explotacion_de_minas_y_canteras_INE` has 519 (84.5%) missing values	Missing
`Ocupacion_en_Industrias_manufactureras_INE` has 520 (84.7%) missing values	Missing
`Ocupacion_en_Suministro_de_electricidad_INE` has 519 (84.5%) missing values	Missing
`Ocupacion_en_Actividades_de_servicios_administrativos_y_de_apoyo_INE` has 520 (84.7%) missing values	Missing
`Ocupacion_en_Actividades_profesionales_INE` has 520 (84.7%) missing values	Missing
`Ocupacion_en_Actividades_inmobiliarias_INE` has 520 (84.7%) missing values	Missing
`Ocupacion_en_Actividades_financieras_y_de_seguros_INE` has 520 (84.7%) missing values	Missing
`Ocupacion_en_Informacion_y_comunicaciones_INE` has 519 (84.5%) missing values	Missing
`Ocupacion_en_Transporte_y_almacenamiento_INE` has 520 (84.7%) missing values	Missing
`Ocupacion_en_Actividades_de_alojamiento_y_de_servicio_de_comidas_INE` has 520 (84.7%) missing values	Missing
`Ocupacion_en_Construccion_INE` has 520 (84.7%) missing values	Missing
`Ocupacion_en_Comercio_INE` has 520 (84.7%) missing values	Missing
`Ocupacion_en_Suministro_de_agua_evacuacion_de_aguas_residuales_INE` has 516 (84.0%) missing values	Missing
`Ocupacion_en_Administracion_publica_y_defensa_INE` has 520 (84.7%) missing values	Missing
`Ocupacion_en_Enseanza_INE` has 520 (84.7%) missing values	Missing
`Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` has 520 (84.7%) missing values	Missing
`Ocupacion_en_Actividades_artisticas_INE` has 520 (84.7%) missing values	Missing
`Ocupacion_en_Otras_actividades_de_servicios_INE` has 519 (84.5%) missing values	Missing
`Ocupacion_en_Actividades_de_los_hogares_como_empleadores_INE` has 520 (84.7%) missing values	Missing
`Ocupacion_en_Actividades_de_organizaciones_y_organos_extraterritoriales_INE` has 520 (84.7%) missing values	Missing
`No_sabe__No_responde_Miles_de_personas` has 604 (98.4%) missing values	Missing
`Tipo_de_cambio_nominal_multilateral___TCM` has 301 (49.0%) missing values	Missing
`Indice_de_tipo_de_cambio_real___TCR_promedio_1986_100` has 194 (31.6%) missing values	Missing
`Indice_de_produccion_industrial` has 470 (76.5%) missing values	Missing
`Indice_de_produccion_industrial__mineria` has 242 (39.4%) missing values	Missing
`Indice_de_produccion_industrial_electricidad__gas_y_agua` has 530 (86.3%) missing values	Missing
`Indice_de_produccion_industrial__manufacturera` has 254 (41.4%) missing values	Missing
`Generacion_de_energia_electrica_CDEC_GWh` has 350 (57.0%) missing values	Missing
`Indice_de_ventas_comercio_real_IVCM` has 530 (86.3%) missing values	Missing
`Indice_de_ventas_comercio_real_no_durables_IVCM` has 530 (86.3%) missing values	Missing
`Indice_de_ventas_comercio_real_durables_IVCM` has 529 (86.2%) missing values	Missing
`Ventas_autos_nuevos` has 469 (76.4%) missing values	Missing
`Periodo` is uniformly distributed	Uniform
`Imacec_empalmado` is uniformly distributed	Uniform
`Imacec_produccion_de_bienes` is uniformly distributed	Uniform
`Imacec_minero` is uniformly distributed	Uniform
`Imacec_industria` is uniformly distributed	Uniform
`Imacec_resto_de_bienes` is uniformly distributed	Uniform
`Imacec_comercio` is uniformly distributed	Uniform
`Imacec_servicios` is uniformly distributed	Uniform
`Imacec_a_costo_de_factores` is uniformly distributed	Uniform
`Imacec_no_minero` is uniformly distributed	Uniform
`PIB_Agropecuario_silvicola` is uniformly distributed	Uniform
`PIB_Pesca` is uniformly distributed	Uniform
`PIB_Mineria` is uniformly distributed	Uniform
`PIB_Mineria_del_cobre` is uniformly distributed	Uniform
`PIB_Otras_actividades_mineras` is uniformly distributed	Uniform
`PIB_Industria_Manufacturera` is uniformly distributed	Uniform
`PIB_Alimentos` is uniformly distributed	Uniform
`PIB_Bebidas_y_tabaco` is uniformly distributed	Uniform
`PIB_Textil` is uniformly distributed	Uniform
`PIB_Maderas_y_muebles` is uniformly distributed	Uniform
`PIB_Celulosa` is uniformly distributed	Uniform
`PIB_Refinacion_de_petroleo` is uniformly distributed	Uniform
`PIB_Quimica` is uniformly distributed	Uniform
`PIB_Minerales_no_metalicos_y_metalica_basica` is uniformly distributed	Uniform
`PIB_Productos_metalicos` is uniformly distributed	Uniform
`PIB_Electricidad` is uniformly distributed	Uniform
`PIB_Construccion` is uniformly distributed	Uniform
`PIB_Comercio` is uniformly distributed	Uniform
`PIB_Restaurantes_y_hoteles` is uniformly distributed	Uniform
`PIB_Transporte` is uniformly distributed	Uniform
`PIB_Comunicaciones` is uniformly distributed	Uniform
`PIB_Servicios_financieros` is uniformly distributed	Uniform
`PIB_Servicios_empresariales` is uniformly distributed	Uniform
`PIB_Servicios_de_vivienda` is uniformly distributed	Uniform
`PIB_Servicios_personales` is uniformly distributed	Uniform
`PIB_Administracion_publica` is uniformly distributed	Uniform
`PIB_a_costo_de_factores` is uniformly distributed	Uniform
`Impuesto_al_valor_agregado` is uniformly distributed	Uniform
`Derechos_de_Importacion` is uniformly distributed	Uniform
`PIB` is uniformly distributed	Uniform
`Precio_de_la_gasolina_en_EEUU_dolaresm3` is uniformly distributed	Uniform
`Precio_del_cobre_refinado_BML_dolareslibra` is uniformly distributed	Uniform
`Precio_del_kerosene_dolaresm3` is uniformly distributed	Uniform
`Tipo_de_cambio_del_dolar_observado_diario` is uniformly distributed	Uniform
`Ocupados` is uniformly distributed	Uniform
`Ocupacion_en_Agricultura_INE` is uniformly distributed	Uniform
`Ocupacion_en_Explotacion_de_minas_y_canteras_INE` is uniformly distributed	Uniform
`Ocupacion_en_Industrias_manufactureras_INE` is uniformly distributed	Uniform
`Ocupacion_en_Suministro_de_electricidad_INE` is uniformly distributed	Uniform
`Ocupacion_en_Actividades_de_servicios_administrativos_y_de_apoyo_INE` is uniformly distributed	Uniform
`Ocupacion_en_Actividades_profesionales_INE` is uniformly distributed	Uniform
`Ocupacion_en_Actividades_inmobiliarias_INE` is uniformly distributed	Uniform
`Ocupacion_en_Actividades_financieras_y_de_seguros_INE` is uniformly distributed	Uniform
`Ocupacion_en_Informacion_y_comunicaciones_INE` is uniformly distributed	Uniform
`Ocupacion_en_Transporte_y_almacenamiento_INE` is uniformly distributed	Uniform
`Ocupacion_en_Actividades_de_alojamiento_y_de_servicio_de_comidas_INE` is uniformly distributed	Uniform
`Ocupacion_en_Construccion_INE` is uniformly distributed	Uniform
`Ocupacion_en_Comercio_INE` is uniformly distributed	Uniform
`Ocupacion_en_Suministro_de_agua_evacuacion_de_aguas_residuales_INE` is uniformly distributed	Uniform
`Ocupacion_en_Administracion_publica_y_defensa_INE` is uniformly distributed	Uniform
`Ocupacion_en_Enseanza_INE` is uniformly distributed	Uniform
`Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE` is uniformly distributed	Uniform
`Ocupacion_en_Actividades_artisticas_INE` is uniformly distributed	Uniform
`Ocupacion_en_Otras_actividades_de_servicios_INE` is uniformly distributed	Uniform
`Ocupacion_en_Actividades_de_los_hogares_como_empleadores_INE` is uniformly distributed	Uniform
`Ocupacion_en_Actividades_de_organizaciones_y_organos_extraterritoriales_INE` is uniformly distributed	Uniform
`No_sabe__No_responde_Miles_de_personas` is uniformly distributed	Uniform
`Tipo_de_cambio_nominal_multilateral___TCM` is uniformly distributed	Uniform
`Indice_de_tipo_de_cambio_real___TCR_promedio_1986_100` is uniformly distributed	Uniform
`Indice_de_produccion_industrial` is uniformly distributed	Uniform
`Indice_de_produccion_industrial__mineria` is uniformly distributed	Uniform
`Indice_de_produccion_industrial_electricidad__gas_y_agua` is uniformly distributed	Uniform
`Indice_de_produccion_industrial__manufacturera` is uniformly distributed	Uniform
`Generacion_de_energia_electrica_CDEC_GWh` is uniformly distributed	Uniform
`Indice_de_ventas_comercio_real_IVCM` is uniformly distributed	Uniform
`Indice_de_ventas_comercio_real_no_durables_IVCM` is uniformly distributed	Uniform
`Indice_de_ventas_comercio_real_durables_IVCM` is uniformly distributed	Uniform

Reproduction

Analysis started	2021-07-28 23:39:48.964720
Analysis finished	2021-07-28 23:40:43.784130
Duration	54.82 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

Periodo
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	612
Distinct (%)	99.7%
Missing	0
Missing (%)	0.0%
Memory size	4.9 KiB

2019-08-01 00:00:00 UTC	2
2018-08-01 00:00:00 UTC	2
1992-03-01 00:00:00 UTC	1
1991-09-01 00:00:00 UTC	1
1991-10-01 00:00:00 UTC	1
Other values (607)	607

Length

Max length	23
Median length	23
Mean length	23
Min length	23

Characters and Unicode

Total characters	14122
Distinct characters	16
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	610 ?
Unique (%)	99.3%

Sample

1st row	2013-03-01 00:00:00 UTC
2nd row	2013-04-01 00:00:00 UTC
3rd row	2013-05-01 00:00:00 UTC
4th row	2013-06-01 00:00:00 UTC
5th row	2013-07-01 00:00:00 UTC

Common Values

Value	Count	Frequency (%)
2019-08-01 00:00:00 UTC	2	0.3%
2018-08-01 00:00:00 UTC	2	0.3%
1992-03-01 00:00:00 UTC	1	0.2%
1991-09-01 00:00:00 UTC	1	0.2%
1991-10-01 00:00:00 UTC	1	0.2%
1991-11-01 00:00:00 UTC	1	0.2%
1991-12-01 00:00:00 UTC	1	0.2%
1992-01-01 00:00:00 UTC	1	0.2%
1992-02-01 00:00:00 UTC	1	0.2%
1992-04-01 00:00:00 UTC	1	0.2%
Other values (602)	602	98.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
utc	614	33.3%
00:00:00	614	33.3%
2019-08-01	2	0.1%
2018-08-01	2	0.1%
1992-03-01	1	0.1%
1991-08-01	1	0.1%
1991-09-01	1	0.1%
1991-10-01	1	0.1%
1991-11-01	1	0.1%
1991-12-01	1	0.1%
Other values (604)	604	32.8%

Most occurring characters

Value	Count	Frequency (%)
0	5256	37.2%
1	1411	10.0%
-	1228	8.7%
	1228	8.7%
:	1228	8.7%
U	614	4.3%
T	614	4.3%
C	614	4.3%
9	592	4.2%
2	427	3.0%
Other values (6)	910	6.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8596	60.9%
Uppercase Letter	1842	13.0%
Dash Punctuation	1228	8.7%
Space Separator	1228	8.7%
Other Punctuation	1228	8.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	5256	61.1%
1	1411	16.4%
9	592	6.9%
2	427	5.0%
8	234	2.7%
7	231	2.7%
3	112	1.3%
4	111	1.3%
5	111	1.3%
6	111	1.3%

Uppercase Letter

Value	Count	Frequency (%)
U	614	33.3%
T	614	33.3%
C	614	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	1228	100.0%

Space Separator

Value	Count	Frequency (%)
	1228	100.0%

Other Punctuation

Value	Count	Frequency (%)
:	1228	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	12280	87.0%
Latin	1842	13.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	5256	42.8%
1	1411	11.5%
-	1228	10.0%
	1228	10.0%
:	1228	10.0%
9	592	4.8%
2	427	3.5%
8	234	1.9%
7	231	1.9%
3	112	0.9%
Other values (3)	333	2.7%

Latin

Value	Count	Frequency (%)
U	614	33.3%
T	614	33.3%
C	614	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	14122	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	5256	37.2%
1	1411	10.0%
-	1228	8.7%
	1228	8.7%
:	1228	8.7%
U	614	4.3%
T	614	4.3%
C	614	4.3%
9	592	4.2%
2	427	3.0%
Other values (6)	910	6.4%

Imacec_empalmado
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	298
Distinct (%)	99.3%
Missing	314
Missing (%)	51.1%
Memory size	4.9 KiB

113.886.371	2
109.690.834	2
598.223.806	1
626.798.664	1
553.421.824	1
Other values (293)	293

Length

Max length	11
Median length	11
Mean length	10.90333333
Min length	9

Characters and Unicode

Total characters	3271
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	296 ?
Unique (%)	98.7%

Sample

1st row	102.796.218
2nd row	101.664.842
3rd row	101.642.954
4th row	998.310.201
5th row	964.696.194

Common Values

Value	Count	Frequency (%)
113.886.371	2	0.3%
109.690.834	2	0.3%
598.223.806	1	0.2%
626.798.664	1	0.2%
553.421.824	1	0.2%
571.266.517	1	0.2%
615.877.182	1	0.2%
591.278.435	1	0.2%
582.111.738	1	0.2%
537.220.001	1	0.2%
Other values (288)	288	46.9%
(Missing)	314	51.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
113.886.371	2	0.7%
109.690.834	2	0.7%
626.798.664	1	0.3%
553.421.824	1	0.3%
571.266.517	1	0.3%
615.877.182	1	0.3%
591.278.435	1	0.3%
582.111.738	1	0.3%
537.220.001	1	0.3%
55.488.821	1	0.3%
Other values (288)	288	96.0%

Most occurring characters

Value	Count	Frequency (%)
.	600	18.3%
1	326	10.0%
7	283	8.7%
6	276	8.4%
8	274	8.4%
5	274	8.4%
0	258	7.9%
9	254	7.8%
4	247	7.6%
2	244	7.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2671	81.7%
Other Punctuation	600	18.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	326	12.2%
7	283	10.6%
6	276	10.3%
8	274	10.3%
5	274	10.3%
0	258	9.7%
9	254	9.5%
4	247	9.2%
2	244	9.1%
3	235	8.8%

Other Punctuation

Value	Count	Frequency (%)
.	600	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3271	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	600	18.3%
1	326	10.0%
7	283	8.7%
6	276	8.4%
8	274	8.4%
5	274	8.4%
0	258	7.9%
9	254	7.8%
4	247	7.6%
2	244	7.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3271	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	600	18.3%
1	326	10.0%
7	283	8.7%
6	276	8.4%
8	274	8.4%
5	274	8.4%
0	258	7.9%
9	254	7.8%
4	247	7.6%
2	244	7.5%

Imacec_produccion_de_bienes
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	298
Distinct (%)	99.3%
Missing	314
Missing (%)	51.1%
Memory size	4.9 KiB

103.237.519	2
994.693.267	2
745.118.536	1
834.972.515	1
771.068.779	1
Other values (293)	293

Length

Max length	11
Median length	11
Mean length	10.89666667
Min length	9

Characters and Unicode

Total characters	3269
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	296 ?
Unique (%)	98.7%

Sample

1st row	10.546.824
2nd row	999.272.757
3rd row	993.959.922
4th row	968.367.884
5th row	961.051.418

Common Values

Value	Count	Frequency (%)
103.237.519	2	0.3%
994.693.267	2	0.3%
745.118.536	1	0.2%
834.972.515	1	0.2%
771.068.779	1	0.2%
779.483.187	1	0.2%
809.093.573	1	0.2%
733.740.528	1	0.2%
735.068.434	1	0.2%
647.224.259	1	0.2%
Other values (288)	288	46.9%
(Missing)	314	51.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
103.237.519	2	0.7%
994.693.267	2	0.7%
834.972.515	1	0.3%
771.068.779	1	0.3%
779.483.187	1	0.3%
809.093.573	1	0.3%
733.740.528	1	0.3%
735.068.434	1	0.3%
647.224.259	1	0.3%
678.466.027	1	0.3%
Other values (288)	288	96.0%

Most occurring characters

Value	Count	Frequency (%)
.	600	18.4%
8	320	9.8%
1	316	9.7%
9	312	9.5%
7	287	8.8%
6	282	8.6%
5	249	7.6%
0	245	7.5%
3	229	7.0%
2	217	6.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2669	81.6%
Other Punctuation	600	18.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
8	320	12.0%
1	316	11.8%
9	312	11.7%
7	287	10.8%
6	282	10.6%
5	249	9.3%
0	245	9.2%
3	229	8.6%
2	217	8.1%
4	212	7.9%

Other Punctuation

Value	Count	Frequency (%)
.	600	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3269	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	600	18.4%
8	320	9.8%
1	316	9.7%
9	312	9.5%
7	287	8.8%
6	282	8.6%
5	249	7.6%
0	245	7.5%
3	229	7.0%
2	217	6.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3269	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	600	18.4%
8	320	9.8%
1	316	9.7%
9	312	9.5%
7	287	8.8%
6	282	8.6%
5	249	7.6%
0	245	7.5%
3	229	7.0%
2	217	6.6%

Imacec_minero
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	298
Distinct (%)	99.3%
Missing	314
Missing (%)	51.1%
Memory size	4.9 KiB

106.828.407	2
101.027.633	2
974.372.253	1
954.612.042	1
840.395.598	1
Other values (293)	293

Length

Max length	11
Median length	11
Mean length	10.94
Min length	10

Characters and Unicode

Total characters	3282
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	296 ?
Unique (%)	98.7%

Sample

1st row	978.554.365
2nd row	927.333.293
3rd row	96.133.164
4th row	102.400.933
5th row	980.029.022

Common Values

Value	Count	Frequency (%)
106.828.407	2	0.3%
101.027.633	2	0.3%
974.372.253	1	0.2%
954.612.042	1	0.2%
840.395.598	1	0.2%
888.432.972	1	0.2%
101.312.731	1	0.2%
970.466.497	1	0.2%
975.775.544	1	0.2%
923.823.525	1	0.2%
Other values (288)	288	46.9%
(Missing)	314	51.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
106.828.407	2	0.7%
101.027.633	2	0.7%
954.612.042	1	0.3%
840.395.598	1	0.3%
888.432.972	1	0.3%
101.312.731	1	0.3%
970.466.497	1	0.3%
975.775.544	1	0.3%
923.823.525	1	0.3%
924.543.713	1	0.3%
Other values (288)	288	96.0%

Most occurring characters

Value	Count	Frequency (%)
.	600	18.3%
9	349	10.6%
1	340	10.4%
0	292	8.9%
8	285	8.7%
7	261	8.0%
5	249	7.6%
2	235	7.2%
4	229	7.0%
3	221	6.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2682	81.7%
Other Punctuation	600	18.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
9	349	13.0%
1	340	12.7%
0	292	10.9%
8	285	10.6%
7	261	9.7%
5	249	9.3%
2	235	8.8%
4	229	8.5%
3	221	8.2%
6	221	8.2%

Other Punctuation

Value	Count	Frequency (%)
.	600	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3282	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	600	18.3%
9	349	10.6%
1	340	10.4%
0	292	8.9%
8	285	8.7%
7	261	8.0%
5	249	7.6%
2	235	7.2%
4	229	7.0%
3	221	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3282	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	600	18.3%
9	349	10.6%
1	340	10.4%
0	292	8.9%
8	285	8.7%
7	261	8.0%
5	249	7.6%
2	235	7.2%
4	229	7.0%
3	221	6.7%

Imacec_industria
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	299
Distinct (%)	99.3%
Missing	313
Missing (%)	51.0%
Memory size	4.9 KiB

105.153.122	2
1.051.861	2
745.829.395	1
775.185.255	1
691.244.049	1
Other values (294)	294

Length

Max length	11
Median length	11
Mean length	10.84053156
Min length	1

Characters and Unicode

Total characters	3263
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	297 ?
Unique (%)	98.7%

Sample

1st row	102.297.537
2nd row	104.485.589
3rd row	105.445.361
4th row	999.212.106
5th row	100.882.112

Common Values

Value	Count	Frequency (%)
105.153.122	2	0.3%
1.051.861	2	0.3%
745.829.395	1	0.2%
775.185.255	1	0.2%
691.244.049	1	0.2%
723.284.695	1	0.2%
766.720.294	1	0.2%
711.111.353	1	0.2%
756.147.378	1	0.2%
670.375.654	1	0.2%
Other values (289)	289	47.1%
(Missing)	313	51.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
105.153.122	2	0.7%
1.051.861	2	0.7%
775.185.255	1	0.3%
691.244.049	1	0.3%
723.284.695	1	0.3%
766.720.294	1	0.3%
711.111.353	1	0.3%
756.147.378	1	0.3%
670.375.654	1	0.3%
713.839.622	1	0.3%
Other values (289)	289	96.0%

Most occurring characters

Value	Count	Frequency (%)
.	600	18.4%
9	323	9.9%
1	308	9.4%
7	297	9.1%
6	281	8.6%
8	272	8.3%
0	261	8.0%
3	247	7.6%
5	240	7.4%
2	219	6.7%
Other values (2)	215	6.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2662	81.6%
Other Punctuation	600	18.4%
Lowercase Letter	1	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
9	323	12.1%
1	308	11.6%
7	297	11.2%
6	281	10.6%
8	272	10.2%
0	261	9.8%
3	247	9.3%
5	240	9.0%
2	219	8.2%
4	214	8.0%

Other Punctuation

Value	Count	Frequency (%)
.	600	100.0%

Lowercase Letter

Value	Count	Frequency (%)
a	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3262	> 99.9%
Latin	1	< 0.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	600	18.4%
9	323	9.9%
1	308	9.4%
7	297	9.1%
6	281	8.6%
8	272	8.3%
0	261	8.0%
3	247	7.6%
5	240	7.4%
2	219	6.7%

Latin

Value	Count	Frequency (%)
a	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3263	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	600	18.4%
9	323	9.9%
1	308	9.4%
7	297	9.1%
6	281	8.6%
8	272	8.3%
0	261	8.0%
3	247	7.6%
5	240	7.4%
2	219	6.7%
Other values (2)	215	6.6%

Imacec_resto_de_bienes
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	298
Distinct (%)	99.3%
Missing	314
Missing (%)	51.1%
Memory size	4.9 KiB

984.395.274	2
931.900.957	2
574.694.195	1
751.792.588	1
733.212.792	1
Other values (293)	293

Length

Max length	11
Median length	11
Mean length	10.90333333
Min length	9

Characters and Unicode

Total characters	3271
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	296 ?
Unique (%)	98.7%

Sample

1st row	114.994.919
2nd row	102.199.311
3rd row	968.789.055
4th row	89.190.493
5th row	901.785.886

Common Values

Value	Count	Frequency (%)
984.395.274	2	0.3%
931.900.957	2	0.3%
574.694.195	1	0.2%
751.792.588	1	0.2%
733.212.792	1	0.2%
703.133.567	1	0.2%
68.001.458	1	0.2%
588.258.906	1	0.2%
547.078.819	1	0.2%
460.472.842	1	0.2%
Other values (288)	288	46.9%
(Missing)	314	51.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
984.395.274	2	0.7%
931.900.957	2	0.7%
751.792.588	1	0.3%
733.212.792	1	0.3%
703.133.567	1	0.3%
68.001.458	1	0.3%
588.258.906	1	0.3%
547.078.819	1	0.3%
460.472.842	1	0.3%
483.674.258	1	0.3%
Other values (288)	288	96.0%

Most occurring characters

Value	Count	Frequency (%)
.	600	18.3%
9	305	9.3%
1	298	9.1%
7	278	8.5%
8	269	8.2%
2	267	8.2%
6	260	7.9%
3	252	7.7%
4	248	7.6%
5	248	7.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2671	81.7%
Other Punctuation	600	18.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
9	305	11.4%
1	298	11.2%
7	278	10.4%
8	269	10.1%
2	267	10.0%
6	260	9.7%
3	252	9.4%
4	248	9.3%
5	248	9.3%
0	246	9.2%

Other Punctuation

Value	Count	Frequency (%)
.	600	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3271	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	600	18.3%
9	305	9.3%
1	298	9.1%
7	278	8.5%
8	269	8.2%
2	267	8.2%
6	260	7.9%
3	252	7.7%
4	248	7.6%
5	248	7.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3271	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	600	18.3%
9	305	9.3%
1	298	9.1%
7	278	8.5%
8	269	8.2%
2	267	8.2%
6	260	7.9%
3	252	7.7%
4	248	7.6%
5	248	7.6%

Imacec_comercio
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	299
Distinct (%)	99.3%
Missing	313
Missing (%)	51.0%
Memory size	4.9 KiB

106.901.816	2
106.248.833	2
366.505.713	1
483.258.201	1
420.590.211	1
Other values (294)	294

Length

Max length	11
Median length	11
Mean length	10.90697674
Min length	9

Characters and Unicode

Total characters	3283
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	297 ?
Unique (%)	98.7%

Sample

1st row	110.729.395
2nd row	106.098.291
3rd row	100.462.117
4th row	939.504.414
5th row	92.776.599

Common Values

Value	Count	Frequency (%)
106.901.816	2	0.3%
106.248.833	2	0.3%
366.505.713	1	0.2%
483.258.201	1	0.2%
420.590.211	1	0.2%
432.301.638	1	0.2%
514.891.706	1	0.2%
396.071.588	1	0.2%
393.282.548	1	0.2%
374.121.988	1	0.2%
Other values (289)	289	47.1%
(Missing)	313	51.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
106.901.816	2	0.7%
106.248.833	2	0.7%
483.258.201	1	0.3%
420.590.211	1	0.3%
432.301.638	1	0.3%
514.891.706	1	0.3%
396.071.588	1	0.3%
393.282.548	1	0.3%
366.505.713	1	0.3%
374.121.988	1	0.3%
Other values (289)	289	96.0%

Most occurring characters

Value	Count	Frequency (%)
.	602	18.3%
1	329	10.0%
9	293	8.9%
4	292	8.9%
3	288	8.8%
2	262	8.0%
6	261	8.0%
5	248	7.6%
0	238	7.2%
8	237	7.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2681	81.7%
Other Punctuation	602	18.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	329	12.3%
9	293	10.9%
4	292	10.9%
3	288	10.7%
2	262	9.8%
6	261	9.7%
5	248	9.3%
0	238	8.9%
8	237	8.8%
7	233	8.7%

Other Punctuation

Value	Count	Frequency (%)
.	602	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3283	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	602	18.3%
1	329	10.0%
9	293	8.9%
4	292	8.9%
3	288	8.8%
2	262	8.0%
6	261	8.0%
5	248	7.6%
0	238	7.2%
8	237	7.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3283	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	602	18.3%
1	329	10.0%
9	293	8.9%
4	292	8.9%
3	288	8.8%
2	262	8.0%
6	261	8.0%
5	248	7.6%
0	238	7.2%
8	237	7.2%

Imacec_servicios
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	298
Distinct (%)	99.3%
Missing	314
Missing (%)	51.1%
Memory size	4.9 KiB

122.596.004	2
117.404.143	2
547.674.008	1
538.302.094	1
456.984.963	1
Other values (293)	293

Length

Max length	11
Median length	11
Mean length	10.84666667
Min length	7

Characters and Unicode

Total characters	3254
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	296 ?
Unique (%)	98.7%

Sample

1st row	100.064.328
2nd row	102.600.107
3rd row	104.083.216
4th row	103.857.161
5th row	969.309.272

Common Values

Value	Count	Frequency (%)
122.596.004	2	0.3%
117.404.143	2	0.3%
547.674.008	1	0.2%
538.302.094	1	0.2%
456.984.963	1	0.2%
477.847.716	1	0.2%
516.724.626	1	0.2%
55.030.091	1	0.2%
529.936.908	1	0.2%
502.610.737	1	0.2%
Other values (288)	288	46.9%
(Missing)	314	51.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
122.596.004	2	0.7%
117.404.143	2	0.7%
538.302.094	1	0.3%
456.984.963	1	0.3%
477.847.716	1	0.3%
516.724.626	1	0.3%
55.030.091	1	0.3%
529.936.908	1	0.3%
502.610.737	1	0.3%
517.353.423	1	0.3%
Other values (288)	288	96.0%

Most occurring characters

Value	Count	Frequency (%)
.	598	18.4%
1	320	9.8%
4	298	9.2%
8	296	9.1%
9	266	8.2%
5	261	8.0%
6	253	7.8%
0	251	7.7%
3	247	7.6%
7	246	7.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2656	81.6%
Other Punctuation	598	18.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	320	12.0%
4	298	11.2%
8	296	11.1%
9	266	10.0%
5	261	9.8%
6	253	9.5%
0	251	9.5%
3	247	9.3%
7	246	9.3%
2	218	8.2%

Other Punctuation

Value	Count	Frequency (%)
.	598	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3254	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	598	18.4%
1	320	9.8%
4	298	9.2%
8	296	9.1%
9	266	8.2%
5	261	8.0%
6	253	7.8%
0	251	7.7%
3	247	7.6%
7	246	7.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3254	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	598	18.4%
1	320	9.8%
4	298	9.2%
8	296	9.1%
9	266	8.2%
5	261	8.0%
6	253	7.8%
0	251	7.7%
3	247	7.6%
7	246	7.6%

Imacec_a_costo_de_factores
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	298
Distinct (%)	99.3%
Missing	314
Missing (%)	51.1%
Memory size	4.9 KiB

113.695.907	2
109.458.386	2
612.974.348	1
643.974.814	1
568.016.353	1
Other values (293)	293

Length

Max length	11
Median length	11
Mean length	10.89333333
Min length	9

Characters and Unicode

Total characters	3268
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	296 ?
Unique (%)	98.7%

Sample

1st row	103.163.651
2nd row	101.937.319
3rd row	101.953.299
4th row	100.222.381
5th row	962.069.134

Common Values

Value	Count	Frequency (%)
113.695.907	2	0.3%
109.458.386	2	0.3%
612.974.348	1	0.2%
643.974.814	1	0.2%
568.016.353	1	0.2%
584.364.044	1	0.2%
62.756.309	1	0.2%
606.990.075	1	0.2%
595.132.417	1	0.2%
547.834.034	1	0.2%
Other values (288)	288	46.9%
(Missing)	314	51.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
113.695.907	2	0.7%
109.458.386	2	0.7%
643.974.814	1	0.3%
568.016.353	1	0.3%
584.364.044	1	0.3%
62.756.309	1	0.3%
606.990.075	1	0.3%
595.132.417	1	0.3%
547.834.034	1	0.3%
567.324.503	1	0.3%
Other values (288)	288	96.0%

Most occurring characters

Value	Count	Frequency (%)
.	600	18.4%
1	347	10.6%
5	313	9.6%
9	277	8.5%
8	271	8.3%
6	258	7.9%
0	257	7.9%
7	257	7.9%
3	239	7.3%
4	235	7.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2668	81.6%
Other Punctuation	600	18.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	347	13.0%
5	313	11.7%
9	277	10.4%
8	271	10.2%
6	258	9.7%
0	257	9.6%
7	257	9.6%
3	239	9.0%
4	235	8.8%
2	214	8.0%

Other Punctuation

Value	Count	Frequency (%)
.	600	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3268	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	600	18.4%
1	347	10.6%
5	313	9.6%
9	277	8.5%
8	271	8.3%
6	258	7.9%
0	257	7.9%
7	257	7.9%
3	239	7.3%
4	235	7.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3268	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	600	18.4%
1	347	10.6%
5	313	9.6%
9	277	8.5%
8	271	8.3%
6	258	7.9%
0	257	7.9%
7	257	7.9%
3	239	7.3%
4	235	7.2%

Imacec_no_minero
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	298
Distinct (%)	99.3%
Missing	314
Missing (%)	51.1%
Memory size	4.9 KiB

114.580.893	2
110.578.221	2
55.492.608	1
584.215.836	1
515.927.418	1
Other values (293)	293

Length

Max length	11
Median length	11
Mean length	10.89666667
Min length	7

Characters and Unicode

Total characters	3269
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	296 ?
Unique (%)	98.7%

Sample

1st row	103.405.852
2nd row	102.766.884
3rd row	102.322.796
4th row	995.139.235
5th row	962.804.305

Common Values

Value	Count	Frequency (%)
114.580.893	2	0.3%
110.578.221	2	0.3%
55.492.608	1	0.2%
584.215.836	1	0.2%
515.927.418	1	0.2%
53.168.419	1	0.2%
57.099.436	1	0.2%
548.264.572	1	0.2%
539.057.409	1	0.2%
496.676.338	1	0.2%
Other values (288)	288	46.9%
(Missing)	314	51.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
114.580.893	2	0.7%
110.578.221	2	0.7%
584.215.836	1	0.3%
515.927.418	1	0.3%
53.168.419	1	0.3%
57.099.436	1	0.3%
548.264.572	1	0.3%
539.057.409	1	0.3%
496.676.338	1	0.3%
514.041.923	1	0.3%
Other values (288)	288	96.0%

Most occurring characters

Value	Count	Frequency (%)
.	599	18.3%
1	336	10.3%
5	299	9.1%
7	269	8.2%
4	263	8.0%
0	261	8.0%
9	261	8.0%
8	256	7.8%
6	252	7.7%
3	241	7.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2670	81.7%
Other Punctuation	599	18.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	336	12.6%
5	299	11.2%
7	269	10.1%
4	263	9.9%
0	261	9.8%
9	261	9.8%
8	256	9.6%
6	252	9.4%
3	241	9.0%
2	232	8.7%

Other Punctuation

Value	Count	Frequency (%)
.	599	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3269	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	599	18.3%
1	336	10.3%
5	299	9.1%
7	269	8.2%
4	263	8.0%
0	261	8.0%
9	261	8.0%
8	256	7.8%
6	252	7.7%
3	241	7.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3269	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	599	18.3%
1	336	10.3%
5	299	9.1%
7	269	8.2%
4	263	8.0%
0	261	8.0%
9	261	8.0%
8	256	7.8%
6	252	7.7%
3	241	7.4%

PIB_Agropecuario_silvicola
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	94
Distinct (%)	97.9%
Missing	518
Missing (%)	84.4%
Memory size	4.9 KiB

167.218.756	2
167.076.841	2
579.846.819	1
62.545.764	1
326.277.302	1
Other values (89)	89

Length

Max length	11
Median length	11
Mean length	10.79166667
Min length	1

Characters and Unicode

Total characters	1036
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	92 ?
Unique (%)	95.8%

Sample

1st row	579.846.819
2nd row	374.895.706
3rd row	311.356.127
4th row	246.592.082
5th row	201.156.433

Common Values

Value	Count	Frequency (%)
167.218.756	2	0.3%
167.076.841	2	0.3%
579.846.819	1	0.2%
62.545.764	1	0.2%
326.277.302	1	0.2%
276.196.365	1	0.2%
167.583.612	1	0.2%
189.474.289	1	0.2%
233.621.069	1	0.2%
294.908.621	1	0.2%
Other values (84)	84	13.7%
(Missing)	518	84.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
167.218.756	2	2.1%
167.076.841	2	2.1%
579.846.819	1	1.0%
631.333.453	1	1.0%
326.277.302	1	1.0%
276.196.365	1	1.0%
167.583.612	1	1.0%
189.474.289	1	1.0%
233.621.069	1	1.0%
294.908.621	1	1.0%
Other values (84)	84	87.5%

Most occurring characters

Value	Count	Frequency (%)
.	190	18.3%
6	121	11.7%
1	94	9.1%
2	94	9.1%
8	85	8.2%
7	84	8.1%
3	84	8.1%
4	83	8.0%
5	76	7.3%
9	74	7.1%
Other values (2)	51	4.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	845	81.6%
Other Punctuation	190	18.3%
Lowercase Letter	1	0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
6	121	14.3%
1	94	11.1%
2	94	11.1%
8	85	10.1%
7	84	9.9%
3	84	9.9%
4	83	9.8%
5	76	9.0%
9	74	8.8%
0	50	5.9%

Other Punctuation

Value	Count	Frequency (%)
.	190	100.0%

Lowercase Letter

Value	Count	Frequency (%)
a	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1035	99.9%
Latin	1	0.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	190	18.4%
6	121	11.7%
1	94	9.1%
2	94	9.1%
8	85	8.2%
7	84	8.1%
3	84	8.1%
4	83	8.0%
5	76	7.3%
9	74	7.1%

Latin

Value	Count	Frequency (%)
a	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1036	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	190	18.3%
6	121	11.7%
1	94	9.1%
2	94	9.1%
8	85	8.2%
7	84	8.1%
3	84	8.1%
4	83	8.0%
5	76	7.3%
9	74	7.1%
Other values (2)	51	4.9%

PIB_Pesca
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	93
Distinct (%)	97.9%
Missing	519
Missing (%)	84.5%
Memory size	4.9 KiB

618.107.584	2
558.930.237	2
570.624.122	1
502.195.647	1
704.726.326	1
Other values (88)	88

Length

Max length	11
Median length	11
Mean length	10.88421053
Min length	10

Characters and Unicode

Total characters	1034
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	95.8%

Sample

1st row	570.624.122
2nd row	606.504.665
3rd row	545.573.168
4th row	418.668.119
5th row	565.897.618

Common Values

Value	Count	Frequency (%)
618.107.584	2	0.3%
558.930.237	2	0.3%
570.624.122	1	0.2%
502.195.647	1	0.2%
704.726.326	1	0.2%
498.075.834	1	0.2%
692.796.794	1	0.2%
694.586.947	1	0.2%
888.830.466	1	0.2%
93.757.554	1	0.2%
Other values (83)	83	13.5%
(Missing)	519	84.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
618.107.584	2	2.1%
558.930.237	2	2.1%
570.624.122	1	1.1%
502.195.647	1	1.1%
704.726.326	1	1.1%
498.075.834	1	1.1%
692.796.794	1	1.1%
694.586.947	1	1.1%
888.830.466	1	1.1%
93.757.554	1	1.1%
Other values (83)	83	87.4%

Most occurring characters

Value	Count	Frequency (%)
.	190	18.4%
6	104	10.1%
5	101	9.8%
4	91	8.8%
7	90	8.7%
8	87	8.4%
9	81	7.8%
3	78	7.5%
1	74	7.2%
0	72	7.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	844	81.6%
Other Punctuation	190	18.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
6	104	12.3%
5	101	12.0%
4	91	10.8%
7	90	10.7%
8	87	10.3%
9	81	9.6%
3	78	9.2%
1	74	8.8%
0	72	8.5%
2	66	7.8%

Other Punctuation

Value	Count	Frequency (%)
.	190	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1034	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	190	18.4%
6	104	10.1%
5	101	9.8%
4	91	8.8%
7	90	8.7%
8	87	8.4%
9	81	7.8%
3	78	7.5%
1	74	7.2%
0	72	7.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1034	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	190	18.4%
6	104	10.1%
5	101	9.8%
4	91	8.8%
7	90	8.7%
8	87	8.4%
9	81	7.8%
3	78	7.5%
1	74	7.2%
0	72	7.0%

PIB_Mineria
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	93
Distinct (%)	97.9%
Missing	519
Missing (%)	84.5%
Memory size	4.9 KiB

127.494.583	2
134.815.028	2
123.491.343	1
120.293.825	1
125.297.185	1
Other values (88)	88

Length

Max length	11
Median length	11
Mean length	10.87368421
Min length	9

Characters and Unicode

Total characters	1033
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	95.8%

Sample

1st row	123.491.343
2nd row	11.702.736
3rd row	121.317.874
4th row	129.227.656
5th row	123.677.441

Common Values

Value	Count	Frequency (%)
127.494.583	2	0.3%
134.815.028	2	0.3%
123.491.343	1	0.2%
120.293.825	1	0.2%
125.297.185	1	0.2%
129.383.043	1	0.2%
133.249.818	1	0.2%
13.057.336	1	0.2%
137.448.783	1	0.2%
124.385.237	1	0.2%
Other values (83)	83	13.5%
(Missing)	519	84.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
127.494.583	2	2.1%
134.815.028	2	2.1%
123.491.343	1	1.1%
120.293.825	1	1.1%
125.297.185	1	1.1%
129.383.043	1	1.1%
133.249.818	1	1.1%
13.057.336	1	1.1%
137.448.783	1	1.1%
124.385.237	1	1.1%
Other values (83)	83	87.4%

Most occurring characters

Value	Count	Frequency (%)
.	190	18.4%
1	158	15.3%
2	113	10.9%
3	104	10.1%
4	82	7.9%
8	82	7.9%
7	71	6.9%
9	63	6.1%
6	59	5.7%
0	56	5.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	843	81.6%
Other Punctuation	190	18.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	158	18.7%
2	113	13.4%
3	104	12.3%
4	82	9.7%
8	82	9.7%
7	71	8.4%
9	63	7.5%
6	59	7.0%
0	56	6.6%
5	55	6.5%

Other Punctuation

Value	Count	Frequency (%)
.	190	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1033	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	190	18.4%
1	158	15.3%
2	113	10.9%
3	104	10.1%
4	82	7.9%
8	82	7.9%
7	71	6.9%
9	63	6.1%
6	59	5.7%
0	56	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1033	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	190	18.4%
1	158	15.3%
2	113	10.9%
3	104	10.1%
4	82	7.9%
8	82	7.9%
7	71	6.9%
9	63	6.1%
6	59	5.7%
0	56	5.4%

PIB_Mineria_del_cobre
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	93
Distinct (%)	97.9%
Missing	519
Missing (%)	84.5%
Memory size	4.9 KiB

114.044.798	2
121.692.348	2
110.356.254	1
108.961.844	1
110.542.041	1
Other values (88)	88

Length

Max length	11
Median length	11
Mean length	10.92631579
Min length	10

Characters and Unicode

Total characters	1038
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	95.8%

Sample

1st row	110.356.254
2nd row	10.358.806
3rd row	107.784.409
4th row	115.404.932
5th row	10.915.864

Common Values

Value	Count	Frequency (%)
114.044.798	2	0.3%
121.692.348	2	0.3%
110.356.254	1	0.2%
108.961.844	1	0.2%
110.542.041	1	0.2%
115.237.183	1	0.2%
120.903.584	1	0.2%
118.549.925	1	0.2%
125.294.394	1	0.2%
112.968.888	1	0.2%
Other values (83)	83	13.5%
(Missing)	519	84.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
114.044.798	2	2.1%
121.692.348	2	2.1%
110.356.254	1	1.1%
108.961.844	1	1.1%
110.542.041	1	1.1%
115.237.183	1	1.1%
120.903.584	1	1.1%
118.549.925	1	1.1%
125.294.394	1	1.1%
112.968.888	1	1.1%
Other values (83)	83	87.4%

Most occurring characters

Value	Count	Frequency (%)
1	200	19.3%
.	190	18.3%
2	86	8.3%
0	83	8.0%
4	79	7.6%
9	77	7.4%
5	72	6.9%
8	68	6.6%
3	65	6.3%
6	60	5.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	848	81.7%
Other Punctuation	190	18.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	200	23.6%
2	86	10.1%
0	83	9.8%
4	79	9.3%
9	77	9.1%
5	72	8.5%
8	68	8.0%
3	65	7.7%
6	60	7.1%
7	58	6.8%

Other Punctuation

Value	Count	Frequency (%)
.	190	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1038	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	200	19.3%
.	190	18.3%
2	86	8.3%
0	83	8.0%
4	79	7.6%
9	77	7.4%
5	72	6.9%
8	68	6.6%
3	65	6.3%
6	60	5.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1038	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	200	19.3%
.	190	18.3%
2	86	8.3%
0	83	8.0%
4	79	7.6%
9	77	7.4%
5	72	6.9%
8	68	6.6%
3	65	6.3%
6	60	5.8%

PIB_Otras_actividades_mineras
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	94
Distinct (%)	97.9%
Missing	518
Missing (%)	84.4%
Memory size	4.9 KiB

135.911.049	2
132.265.047	2
131.350.889	1
123.716.785	1
143.891.147	1
Other values (89)	89

Length

Max length	11
Median length	11
Mean length	10.9375
Min length	9

Characters and Unicode

Total characters	1050
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	92 ?
Unique (%)	95.8%

Sample

1st row	131.350.889
2nd row	134.393.001
3rd row	135.334.655
4th row	138.227.237
5th row	145.188.012

Common Values

Value	Count	Frequency (%)
135.911.049	2	0.3%
132.265.047	2	0.3%
131.350.889	1	0.2%
123.716.785	1	0.2%
143.891.147	1	0.2%
149.705.046	1	0.2%
14.313.991	1	0.2%
124.088.221	1	0.2%
120.810.436	1	0.2%
121.900.473	1	0.2%
Other values (84)	84	13.7%
(Missing)	518	84.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
135.911.049	2	2.1%
132.265.047	2	2.1%
131.350.889	1	1.0%
106.097.191	1	1.0%
143.891.147	1	1.0%
149.705.046	1	1.0%
14.313.991	1	1.0%
124.088.221	1	1.0%
120.810.436	1	1.0%
121.900.473	1	1.0%
Other values (84)	84	87.5%

Most occurring characters

Value	Count	Frequency (%)
.	192	18.3%
1	181	17.2%
3	109	10.4%
2	93	8.9%
4	79	7.5%
9	73	7.0%
5	70	6.7%
0	66	6.3%
7	66	6.3%
6	61	5.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	858	81.7%
Other Punctuation	192	18.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	181	21.1%
3	109	12.7%
2	93	10.8%
4	79	9.2%
9	73	8.5%
5	70	8.2%
0	66	7.7%
7	66	7.7%
6	61	7.1%
8	60	7.0%

Other Punctuation

Value	Count	Frequency (%)
.	192	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1050	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	192	18.3%
1	181	17.2%
3	109	10.4%
2	93	8.9%
4	79	7.5%
9	73	7.0%
5	70	6.7%
0	66	6.3%
7	66	6.3%
6	61	5.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1050	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	192	18.3%
1	181	17.2%
3	109	10.4%
2	93	8.9%
4	79	7.5%
9	73	7.0%
5	70	6.7%
0	66	6.3%
7	66	6.3%
6	61	5.8%

PIB_Industria_Manufacturera
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	94
Distinct (%)	94.9%
Missing	515
Missing (%)	83.9%
Memory size	4.9 KiB

a	4
134.337.385	2
134.295.268	2
136.763.201	1
135.923.432	1
Other values (89)	89

Length

Max length	11
Median length	11
Mean length	10.48484848
Min length	1

Characters and Unicode

Total characters	1038
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	91.9%

Sample

1st row	130.648.285
2nd row	133.442.735
3rd row	134.668.498
4th row	127.613.384
5th row	128.840.589

Common Values

Value	Count	Frequency (%)
a	4	0.7%
134.337.385	2	0.3%
134.295.268	2	0.3%
136.763.201	1	0.2%
135.923.432	1	0.2%
140.139.514	1	0.2%
119.526.344	1	0.2%
128.354.483	1	0.2%
135.194.172	1	0.2%
139.300.435	1	0.2%
Other values (84)	84	13.7%
(Missing)	515	83.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
a	4	4.0%
134.337.385	2	2.0%
134.295.268	2	2.0%
13.639.456	1	1.0%
135.923.432	1	1.0%
140.139.514	1	1.0%
119.526.344	1	1.0%
128.354.483	1	1.0%
135.194.172	1	1.0%
139.300.435	1	1.0%
Other values (84)	84	84.8%

Most occurring characters

Value	Count	Frequency (%)
.	189	18.2%
1	165	15.9%
2	118	11.4%
3	115	11.1%
4	79	7.6%
8	79	7.6%
5	69	6.6%
9	62	6.0%
7	59	5.7%
6	55	5.3%
Other values (2)	48	4.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	845	81.4%
Other Punctuation	189	18.2%
Lowercase Letter	4	0.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	165	19.5%
2	118	14.0%
3	115	13.6%
4	79	9.3%
8	79	9.3%
5	69	8.2%
9	62	7.3%
7	59	7.0%
6	55	6.5%
0	44	5.2%

Other Punctuation

Value	Count	Frequency (%)
.	189	100.0%

Lowercase Letter

Value	Count	Frequency (%)
a	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1034	99.6%
Latin	4	0.4%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	189	18.3%
1	165	16.0%
2	118	11.4%
3	115	11.1%
4	79	7.6%
8	79	7.6%
5	69	6.7%
9	62	6.0%
7	59	5.7%
6	55	5.3%

Latin

Value	Count	Frequency (%)
a	4	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1038	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	189	18.2%
1	165	15.9%
2	118	11.4%
3	115	11.1%
4	79	7.6%
8	79	7.6%
5	69	6.6%
9	62	6.0%
7	59	5.7%
6	55	5.3%
Other values (2)	48	4.6%

PIB_Alimentos
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	93
Distinct (%)	97.9%
Missing	519
Missing (%)	84.5%
Memory size	4.9 KiB

352.713.059	2
353.208.152	2
367.818.436	1
332.018.501	1
380.440.178	1
Other values (88)	88

Length

Max length	11
Median length	11
Mean length	10.85263158
Min length	9

Characters and Unicode

Total characters	1031
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	95.8%

Sample

1st row	367.818.436
2nd row	38.211.344
3rd row	37.345.015
4th row	323.857.815
5th row	327.206.582

Common Values

Value	Count	Frequency (%)
352.713.059	2	0.3%
353.208.152	2	0.3%
367.818.436	1	0.2%
332.018.501	1	0.2%
380.440.178	1	0.2%
301.564.892	1	0.2%
343.457.838	1	0.2%
364.609.268	1	0.2%
389.355.987	1	0.2%
37.402.925	1	0.2%
Other values (83)	83	13.5%
(Missing)	519	84.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
352.713.059	2	2.1%
353.208.152	2	2.1%
367.818.436	1	1.1%
332.018.501	1	1.1%
380.440.178	1	1.1%
301.564.892	1	1.1%
343.457.838	1	1.1%
364.609.268	1	1.1%
389.355.987	1	1.1%
37.402.925	1	1.1%
Other values (83)	83	87.4%

Most occurring characters

Value	Count	Frequency (%)
.	190	18.4%
3	174	16.9%
2	82	8.0%
5	82	8.0%
8	81	7.9%
4	75	7.3%
6	71	6.9%
7	71	6.9%
9	70	6.8%
1	69	6.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	841	81.6%
Other Punctuation	190	18.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	174	20.7%
2	82	9.8%
5	82	9.8%
8	81	9.6%
4	75	8.9%
6	71	8.4%
7	71	8.4%
9	70	8.3%
1	69	8.2%
0	66	7.8%

Other Punctuation

Value	Count	Frequency (%)
.	190	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1031	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	190	18.4%
3	174	16.9%
2	82	8.0%
5	82	8.0%
8	81	7.9%
4	75	7.3%
6	71	6.9%
7	71	6.9%
9	70	6.8%
1	69	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1031	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	190	18.4%
3	174	16.9%
2	82	8.0%
5	82	8.0%
8	81	7.9%
4	75	7.3%
6	71	6.9%
7	71	6.9%
9	70	6.8%
1	69	6.7%

PIB_Bebidas_y_tabaco
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	93
Distinct (%)	97.9%
Missing	519
Missing (%)	84.5%
Memory size	4.9 KiB

155.499.282	2
154.888.657	2
162.692.807	1
163.596.058	1
16.942.394	1
Other values (88)	88

Length

Max length	11
Median length	11
Mean length	10.87368421
Min length	9

Characters and Unicode

Total characters	1033
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	95.8%

Sample

1st row	162.692.807
2nd row	188.189.562
3rd row	184.115.565
4th row	17.224.193
5th row	163.572.934

Common Values

Value	Count	Frequency (%)
155.499.282	2	0.3%
154.888.657	2	0.3%
162.692.807	1	0.2%
163.596.058	1	0.2%
16.942.394	1	0.2%
155.860.699	1	0.2%
155.687.692	1	0.2%
182.359.667	1	0.2%
19.690.699	1	0.2%
194.452.697	1	0.2%
Other values (83)	83	13.5%
(Missing)	519	84.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
155.499.282	2	2.1%
154.888.657	2	2.1%
162.692.807	1	1.1%
163.596.058	1	1.1%
16.942.394	1	1.1%
155.860.699	1	1.1%
155.687.692	1	1.1%
182.359.667	1	1.1%
19.690.699	1	1.1%
194.452.697	1	1.1%
Other values (83)	83	87.4%

Most occurring characters

Value	Count	Frequency (%)
.	190	18.4%
1	163	15.8%
5	95	9.2%
6	91	8.8%
7	79	7.6%
2	77	7.5%
8	75	7.3%
4	74	7.2%
9	73	7.1%
3	63	6.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	843	81.6%
Other Punctuation	190	18.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	163	19.3%
5	95	11.3%
6	91	10.8%
7	79	9.4%
2	77	9.1%
8	75	8.9%
4	74	8.8%
9	73	8.7%
3	63	7.5%
0	53	6.3%

Other Punctuation

Value	Count	Frequency (%)
.	190	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1033	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	190	18.4%
1	163	15.8%
5	95	9.2%
6	91	8.8%
7	79	7.6%
2	77	7.5%
8	75	7.3%
4	74	7.2%
9	73	7.1%
3	63	6.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1033	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	190	18.4%
1	163	15.8%
5	95	9.2%
6	91	8.8%
7	79	7.6%
2	77	7.5%
8	75	7.3%
4	74	7.2%
9	73	7.1%
3	63	6.1%

PIB_Textil
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	93
Distinct (%)	97.9%
Missing	519
Missing (%)	84.5%
Memory size	4.9 KiB

282.857.251	2
256.242.589	2
330.305.467	1
319.287.288	1
328.198.517	1
Other values (88)	88

Length

Max length	11
Median length	11
Mean length	10.92631579
Min length	10

Characters and Unicode

Total characters	1038
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	95.8%

Sample

1st row	330.305.467
2nd row	380.345.362
3rd row	342.850.811
4th row	290.637.238
5th row	277.405.414

Common Values

Value	Count	Frequency (%)
282.857.251	2	0.3%
256.242.589	2	0.3%
330.305.467	1	0.2%
319.287.288	1	0.2%
328.198.517	1	0.2%
252.305.087	1	0.2%
265.345.891	1	0.2%
308.925.913	1	0.2%
338.830.892	1	0.2%
370.841.871	1	0.2%
Other values (83)	83	13.5%
(Missing)	519	84.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
282.857.251	2	2.1%
256.242.589	2	2.1%
330.305.467	1	1.1%
319.287.288	1	1.1%
328.198.517	1	1.1%
252.305.087	1	1.1%
265.345.891	1	1.1%
308.925.913	1	1.1%
338.830.892	1	1.1%
370.841.871	1	1.1%
Other values (83)	83	87.4%

Most occurring characters

Value	Count	Frequency (%)
.	190	18.3%
2	129	12.4%
3	120	11.6%
8	95	9.2%
1	82	7.9%
5	79	7.6%
6	77	7.4%
7	71	6.8%
4	67	6.5%
0	64	6.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	848	81.7%
Other Punctuation	190	18.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	129	15.2%
3	120	14.2%
8	95	11.2%
1	82	9.7%
5	79	9.3%
6	77	9.1%
7	71	8.4%
4	67	7.9%
0	64	7.5%
9	64	7.5%

Other Punctuation

Value	Count	Frequency (%)
.	190	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1038	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	190	18.3%
2	129	12.4%
3	120	11.6%
8	95	9.2%
1	82	7.9%
5	79	7.6%
6	77	7.4%
7	71	6.8%
4	67	6.5%
0	64	6.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1038	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	190	18.3%
2	129	12.4%
3	120	11.6%
8	95	9.2%
1	82	7.9%
5	79	7.6%
6	77	7.4%
7	71	6.8%
4	67	6.5%
0	64	6.2%

PIB_Maderas_y_muebles
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	93
Distinct (%)	97.9%
Missing	519
Missing (%)	84.5%
Memory size	4.9 KiB

761.910.666	2
728.401.461	2
643.366.109	1
69.530.084	1
811.197.543	1
Other values (88)	88

Length

Max length	11
Median length	11
Mean length	10.83157895
Min length	9

Characters and Unicode

Total characters	1029
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	95.8%

Sample

1st row	643.366.109
2nd row	684.106.836
3rd row	686.925.227
4th row	667.221.833
5th row	692.167.097

Common Values

Value	Count	Frequency (%)
761.910.666	2	0.3%
728.401.461	2	0.3%
643.366.109	1	0.2%
69.530.084	1	0.2%
811.197.543	1	0.2%
640.941.752	1	0.2%
726.101.383	1	0.2%
731.508.847	1	0.2%
723.293.946	1	0.2%
725.802.748	1	0.2%
Other values (83)	83	13.5%
(Missing)	519	84.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
761.910.666	2	2.1%
728.401.461	2	2.1%
643.366.109	1	1.1%
69.530.084	1	1.1%
811.197.543	1	1.1%
640.941.752	1	1.1%
726.101.383	1	1.1%
731.508.847	1	1.1%
723.293.946	1	1.1%
725.802.748	1	1.1%
Other values (83)	83	87.4%

Most occurring characters

Value	Count	Frequency (%)
.	190	18.5%
6	133	12.9%
7	109	10.6%
1	92	8.9%
2	76	7.4%
9	74	7.2%
3	73	7.1%
5	73	7.1%
0	71	6.9%
4	69	6.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	839	81.5%
Other Punctuation	190	18.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
6	133	15.9%
7	109	13.0%
1	92	11.0%
2	76	9.1%
9	74	8.8%
3	73	8.7%
5	73	8.7%
0	71	8.5%
4	69	8.2%
8	69	8.2%

Other Punctuation

Value	Count	Frequency (%)
.	190	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1029	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	190	18.5%
6	133	12.9%
7	109	10.6%
1	92	8.9%
2	76	7.4%
9	74	7.2%
3	73	7.1%
5	73	7.1%
0	71	6.9%
4	69	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1029	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	190	18.5%
6	133	12.9%
7	109	10.6%
1	92	8.9%
2	76	7.4%
9	74	7.2%
3	73	7.1%
5	73	7.1%
0	71	6.9%
4	69	6.7%

PIB_Celulosa
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	93
Distinct (%)	97.9%
Missing	519
Missing (%)	84.5%
Memory size	4.9 KiB

10.666.085	2
107.719.529	2
974.948.182	1
969.801.622	1
103.905.471	1
Other values (88)	88

Length

Max length	11
Median length	11
Mean length	10.82105263
Min length	7

Characters and Unicode

Total characters	1028
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	95.8%

Sample

1st row	974.948.182
2nd row	945.996.965
3rd row	104.685.345
4th row	102.091.894
5th row	10.693.519

Common Values

Value	Count	Frequency (%)
10.666.085	2	0.3%
107.719.529	2	0.3%
974.948.182	1	0.2%
969.801.622	1	0.2%
103.905.471	1	0.2%
101.982.311	1	0.2%
105.004.528	1	0.2%
104.804.923	1	0.2%
107.832.338	1	0.2%
1.034.824	1	0.2%
Other values (83)	83	13.5%
(Missing)	519	84.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
10.666.085	2	2.1%
107.719.529	2	2.1%
974.948.182	1	1.1%
969.801.622	1	1.1%
103.905.471	1	1.1%
101.982.311	1	1.1%
105.004.528	1	1.1%
104.804.923	1	1.1%
107.832.338	1	1.1%
1.034.824	1	1.1%
Other values (83)	83	87.4%

Most occurring characters

Value	Count	Frequency (%)
.	189	18.4%
1	121	11.8%
0	121	11.8%
9	110	10.7%
4	75	7.3%
8	74	7.2%
2	74	7.2%
7	71	6.9%
6	71	6.9%
3	63	6.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	839	81.6%
Other Punctuation	189	18.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	121	14.4%
0	121	14.4%
9	110	13.1%
4	75	8.9%
8	74	8.8%
2	74	8.8%
7	71	8.5%
6	71	8.5%
3	63	7.5%
5	59	7.0%

Other Punctuation

Value	Count	Frequency (%)
.	189	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1028	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	189	18.4%
1	121	11.8%
0	121	11.8%
9	110	10.7%
4	75	7.3%
8	74	7.2%
2	74	7.2%
7	71	6.9%
6	71	6.9%
3	63	6.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1028	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	189	18.4%
1	121	11.8%
0	121	11.8%
9	110	10.7%
4	75	7.3%
8	74	7.2%
2	74	7.2%
7	71	6.9%
6	71	6.9%
3	63	6.1%

PIB_Refinacion_de_petroleo
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	93
Distinct (%)	97.9%
Missing	519
Missing (%)	84.5%
Memory size	4.9 KiB

113.232.043	2
120.020.403	2
103.469.519	1
982.275.544	1
10.338.753	1
Other values (88)	88

Length

Max length	11
Median length	11
Mean length	10.90526316
Min length	9

Characters and Unicode

Total characters	1036
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	95.8%

Sample

1st row	103.469.519
2nd row	824.530.386
3rd row	101.629.225
4th row	100.279.607
5th row	102.108.993

Common Values

Value	Count	Frequency (%)
113.232.043	2	0.3%
120.020.403	2	0.3%
103.469.519	1	0.2%
982.275.544	1	0.2%
10.338.753	1	0.2%
104.841.896	1	0.2%
105.897.201	1	0.2%
103.010.341	1	0.2%
948.526.359	1	0.2%
107.493.843	1	0.2%
Other values (83)	83	13.5%
(Missing)	519	84.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
113.232.043	2	2.1%
120.020.403	2	2.1%
103.469.519	1	1.1%
982.275.544	1	1.1%
10.338.753	1	1.1%
104.841.896	1	1.1%
105.897.201	1	1.1%
103.010.341	1	1.1%
948.526.359	1	1.1%
107.493.843	1	1.1%
Other values (83)	83	87.4%

Most occurring characters

Value	Count	Frequency (%)
.	190	18.3%
1	147	14.2%
9	96	9.3%
0	94	9.1%
2	83	8.0%
6	76	7.3%
8	76	7.3%
3	73	7.0%
7	72	6.9%
5	68	6.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	846	81.7%
Other Punctuation	190	18.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	147	17.4%
9	96	11.3%
0	94	11.1%
2	83	9.8%
6	76	9.0%
8	76	9.0%
3	73	8.6%
7	72	8.5%
5	68	8.0%
4	61	7.2%

Other Punctuation

Value	Count	Frequency (%)
.	190	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1036	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	190	18.3%
1	147	14.2%
9	96	9.3%
0	94	9.1%
2	83	8.0%
6	76	7.3%
8	76	7.3%
3	73	7.0%
7	72	6.9%
5	68	6.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1036	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	190	18.3%
1	147	14.2%
9	96	9.3%
0	94	9.1%
2	83	8.0%
6	76	7.3%
8	76	7.3%
3	73	7.0%
7	72	6.9%
5	68	6.6%

PIB_Quimica
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	94
Distinct (%)	95.9%
Missing	516
Missing (%)	84.0%
Memory size	4.9 KiB

a	3
205.964.209	2
201.510.245	2
191.109.563	1
205.330.168	1
Other values (89)	89

Length

Max length	11
Median length	11
Mean length	10.60204082
Min length	1

Characters and Unicode

Total characters	1039
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	92.9%

Sample

1st row	184.460.073
2nd row	172.638.981
3rd row	173.785.919
4th row	187.920.877
5th row	179.849.331

Common Values

Value	Count	Frequency (%)
a	3	0.5%
205.964.209	2	0.3%
201.510.245	2	0.3%
191.109.563	1	0.2%
205.330.168	1	0.2%
211.659.522	1	0.2%
178.232.965	1	0.2%
185.304.618	1	0.2%
191.423.047	1	0.2%
188.068.241	1	0.2%
Other values (84)	84	13.7%
(Missing)	516	84.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
a	3	3.1%
205.964.209	2	2.0%
201.510.245	2	2.0%
191.437.075	1	1.0%
205.330.168	1	1.0%
211.659.522	1	1.0%
178.232.965	1	1.0%
185.304.618	1	1.0%
191.423.047	1	1.0%
188.068.241	1	1.0%
Other values (84)	84	85.7%

Most occurring characters

Value	Count	Frequency (%)
.	190	18.3%
1	153	14.7%
9	97	9.3%
2	91	8.8%
8	87	8.4%
7	86	8.3%
0	78	7.5%
5	69	6.6%
3	64	6.2%
4	62	6.0%
Other values (2)	62	6.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	846	81.4%
Other Punctuation	190	18.3%
Lowercase Letter	3	0.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	153	18.1%
9	97	11.5%
2	91	10.8%
8	87	10.3%
7	86	10.2%
0	78	9.2%
5	69	8.2%
3	64	7.6%
4	62	7.3%
6	59	7.0%

Other Punctuation

Value	Count	Frequency (%)
.	190	100.0%

Lowercase Letter

Value	Count	Frequency (%)
a	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1036	99.7%
Latin	3	0.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	190	18.3%
1	153	14.8%
9	97	9.4%
2	91	8.8%
8	87	8.4%
7	86	8.3%
0	78	7.5%
5	69	6.7%
3	64	6.2%
4	62	6.0%

Latin

Value	Count	Frequency (%)
a	3	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1039	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	190	18.3%
1	153	14.7%
9	97	9.3%
2	91	8.8%
8	87	8.4%
7	86	8.3%
0	78	7.5%
5	69	6.6%
3	64	6.2%
4	62	6.0%
Other values (2)	62	6.0%

PIB_Minerales_no_metalicos_y_metalica_basica
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	94
Distinct (%)	97.9%
Missing	518
Missing (%)	84.4%
Memory size	4.9 KiB

753.121.123	2
733.229.359	2
807.709.837	1
718.676.503	1
731.206.649	1
Other values (89)	89

Length

Max length	11
Median length	11
Mean length	10.70833333
Min length	1

Characters and Unicode

Total characters	1028
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	92 ?
Unique (%)	95.8%

Sample

1st row	807.709.837
2nd row	831.959.074
3rd row	778.426.782
4th row	716.634.523
5th row	763.622.688

Common Values

Value	Count	Frequency (%)
753.121.123	2	0.3%
733.229.359	2	0.3%
807.709.837	1	0.2%
718.676.503	1	0.2%
731.206.649	1	0.2%
809.769.321	1	0.2%
633.005.896	1	0.2%
70.824.171	1	0.2%
70.583.483	1	0.2%
70.793.454	1	0.2%
Other values (84)	84	13.7%
(Missing)	518	84.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
753.121.123	2	2.1%
733.229.359	2	2.1%
807.709.837	1	1.0%
689.261.985	1	1.0%
731.206.649	1	1.0%
809.769.321	1	1.0%
633.005.896	1	1.0%
70.824.171	1	1.0%
70.583.483	1	1.0%
70.793.454	1	1.0%
Other values (84)	84	87.5%

Most occurring characters

Value	Count	Frequency (%)
.	190	18.5%
7	134	13.0%
6	114	11.1%
3	90	8.8%
8	82	8.0%
2	82	8.0%
1	73	7.1%
9	72	7.0%
5	68	6.6%
0	62	6.0%
Other values (2)	61	5.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	837	81.4%
Other Punctuation	190	18.5%
Lowercase Letter	1	0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
7	134	16.0%
6	114	13.6%
3	90	10.8%
8	82	9.8%
2	82	9.8%
1	73	8.7%
9	72	8.6%
5	68	8.1%
0	62	7.4%
4	60	7.2%

Other Punctuation

Value	Count	Frequency (%)
.	190	100.0%

Lowercase Letter

Value	Count	Frequency (%)
a	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1027	99.9%
Latin	1	0.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	190	18.5%
7	134	13.0%
6	114	11.1%
3	90	8.8%
8	82	8.0%
2	82	8.0%
1	73	7.1%
9	72	7.0%
5	68	6.6%
0	62	6.0%

Latin

Value	Count	Frequency (%)
a	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1028	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	190	18.5%
7	134	13.0%
6	114	11.1%
3	90	8.8%
8	82	8.0%
2	82	8.0%
1	73	7.1%
9	72	7.0%
5	68	6.6%
0	62	6.0%
Other values (2)	61	5.9%

PIB_Productos_metalicos
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	93
Distinct (%)	97.9%
Missing	519
Missing (%)	84.5%
Memory size	4.9 KiB

229.592.623	2
232.194.383	2
212.409.058	1
196.721.554	1
239.316.092	1
Other values (88)	88

Length

Max length	11
Median length	11
Mean length	10.92631579
Min length	10

Characters and Unicode

Total characters	1038
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	95.8%

Sample

1st row	212.409.058
2nd row	224.791.502
3rd row	228.198.491
4th row	222.292.356
5th row	23.541.334

Common Values

Value	Count	Frequency (%)
229.592.623	2	0.3%
232.194.383	2	0.3%
212.409.058	1	0.2%
196.721.554	1	0.2%
239.316.092	1	0.2%
198.015.667	1	0.2%
213.454.011	1	0.2%
227.005.629	1	0.2%
231.899.386	1	0.2%
227.231.646	1	0.2%
Other values (83)	83	13.5%
(Missing)	519	84.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
229.592.623	2	2.1%
232.194.383	2	2.1%
212.409.058	1	1.1%
196.721.554	1	1.1%
239.316.092	1	1.1%
198.015.667	1	1.1%
213.454.011	1	1.1%
227.005.629	1	1.1%
231.899.386	1	1.1%
227.231.646	1	1.1%
Other values (83)	83	87.4%

Most occurring characters

Value	Count	Frequency (%)
.	190	18.3%
2	182	17.5%
1	102	9.8%
9	88	8.5%
3	77	7.4%
5	74	7.1%
0	72	6.9%
4	70	6.7%
6	62	6.0%
7	61	5.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	848	81.7%
Other Punctuation	190	18.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	182	21.5%
1	102	12.0%
9	88	10.4%
3	77	9.1%
5	74	8.7%
0	72	8.5%
4	70	8.3%
6	62	7.3%
7	61	7.2%
8	60	7.1%

Other Punctuation

Value	Count	Frequency (%)
.	190	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1038	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	190	18.3%
2	182	17.5%
1	102	9.8%
9	88	8.5%
3	77	7.4%
5	74	7.1%
0	72	6.9%
4	70	6.7%
6	62	6.0%
7	61	5.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1038	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	190	18.3%
2	182	17.5%
1	102	9.8%
9	88	8.5%
3	77	7.4%
5	74	7.1%
0	72	6.9%
4	70	6.7%
6	62	6.0%
7	61	5.9%

PIB_Electricidad
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	93
Distinct (%)	97.9%
Missing	519
Missing (%)	84.5%
Memory size	4.9 KiB

341.668.896	2
358.780.323	2
301.314.934	1
333.284.191	1
370.736.322	1
Other values (88)	88

Length

Max length	11
Median length	11
Mean length	10.88421053
Min length	9

Characters and Unicode

Total characters	1034
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	95.8%

Sample

1st row	301.314.934
2nd row	280.438.294
3rd row	274.899.817
4th row	270.141.266
5th row	293.379.905

Common Values

Value	Count	Frequency (%)
341.668.896	2	0.3%
358.780.323	2	0.3%
301.314.934	1	0.2%
333.284.191	1	0.2%
370.736.322	1	0.2%
33.177.918	1	0.2%
361.711.705	1	0.2%
341.750.516	1	0.2%
341.203.234	1	0.2%
33.084.541	1	0.2%
Other values (83)	83	13.5%
(Missing)	519	84.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
341.668.896	2	2.1%
358.780.323	2	2.1%
301.314.934	1	1.1%
333.284.191	1	1.1%
370.736.322	1	1.1%
33.177.918	1	1.1%
361.711.705	1	1.1%
341.750.516	1	1.1%
341.203.234	1	1.1%
33.084.541	1	1.1%
Other values (83)	83	87.4%

Most occurring characters

Value	Count	Frequency (%)
.	190	18.4%
3	157	15.2%
1	91	8.8%
2	87	8.4%
9	84	8.1%
8	82	7.9%
7	79	7.6%
5	76	7.4%
4	69	6.7%
0	60	5.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	844	81.6%
Other Punctuation	190	18.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	157	18.6%
1	91	10.8%
2	87	10.3%
9	84	10.0%
8	82	9.7%
7	79	9.4%
5	76	9.0%
4	69	8.2%
0	60	7.1%
6	59	7.0%

Other Punctuation

Value	Count	Frequency (%)
.	190	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1034	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	190	18.4%
3	157	15.2%
1	91	8.8%
2	87	8.4%
9	84	8.1%
8	82	7.9%
7	79	7.6%
5	76	7.4%
4	69	6.7%
0	60	5.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1034	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	190	18.4%
3	157	15.2%
1	91	8.8%
2	87	8.4%
9	84	8.1%
8	82	7.9%
7	79	7.6%
5	76	7.4%
4	69	6.7%
0	60	5.8%

PIB_Construccion
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	93
Distinct (%)	97.9%
Missing	519
Missing (%)	84.5%
Memory size	4.9 KiB

771.082.628	2
818.881.759	2
710.242.818	1
670.156.799	1
821.761.124	1
Other values (88)	88

Length

Max length	11
Median length	11
Mean length	10.90526316
Min length	10

Characters and Unicode

Total characters	1036
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	95.8%

Sample

1st row	710.242.818
2nd row	749.055.837
3rd row	74.795.834
4th row	719.957.056
5th row	741.595.595

Common Values

Value	Count	Frequency (%)
771.082.628	2	0.3%
818.881.759	2	0.3%
710.242.818	1	0.2%
670.156.799	1	0.2%
821.761.124	1	0.2%
69.156.583	1	0.2%
763.858.096	1	0.2%
732.109.318	1	0.2%
757.024.015	1	0.2%
771.052.979	1	0.2%
Other values (83)	83	13.5%
(Missing)	519	84.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
771.082.628	2	2.1%
818.881.759	2	2.1%
710.242.818	1	1.1%
670.156.799	1	1.1%
821.761.124	1	1.1%
69.156.583	1	1.1%
763.858.096	1	1.1%
732.109.318	1	1.1%
757.024.015	1	1.1%
771.052.979	1	1.1%
Other values (83)	83	87.4%

Most occurring characters

Value	Count	Frequency (%)
.	190	18.3%
7	114	11.0%
8	95	9.2%
2	90	8.7%
1	89	8.6%
6	89	8.6%
5	83	8.0%
4	78	7.5%
9	72	6.9%
0	71	6.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	846	81.7%
Other Punctuation	190	18.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
7	114	13.5%
8	95	11.2%
2	90	10.6%
1	89	10.5%
6	89	10.5%
5	83	9.8%
4	78	9.2%
9	72	8.5%
0	71	8.4%
3	65	7.7%

Other Punctuation

Value	Count	Frequency (%)
.	190	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1036	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	190	18.3%
7	114	11.0%
8	95	9.2%
2	90	8.7%
1	89	8.6%
6	89	8.6%
5	83	8.0%
4	78	7.5%
9	72	6.9%
0	71	6.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1036	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	190	18.3%
7	114	11.0%
8	95	9.2%
2	90	8.7%
1	89	8.6%
6	89	8.6%
5	83	8.0%
4	78	7.5%
9	72	6.9%
0	71	6.9%

PIB_Comercio
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	93
Distinct (%)	97.9%
Missing	519
Missing (%)	84.5%
Memory size	4.9 KiB

110.815.907	2
111.496.958	2
115.489.064	1
11.850.048	1
11.370.537	1
Other values (88)	88

Length

Max length	11
Median length	11
Mean length	10.8
Min length	7

Characters and Unicode

Total characters	1026
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	95.8%

Sample

1st row	115.489.064
2nd row	110.658.893
3rd row	10.478.045
4th row	979.888.723
5th row	967.645.727

Common Values

Value	Count	Frequency (%)
110.815.907	2	0.3%
111.496.958	2	0.3%
115.489.064	1	0.2%
11.850.048	1	0.2%
11.370.537	1	0.2%
10.354.107	1	0.2%
105.606.351	1	0.2%
112.070.792	1	0.2%
119.229.694	1	0.2%
123.406.294	1	0.2%
Other values (83)	83	13.5%
(Missing)	519	84.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
110.815.907	2	2.1%
111.496.958	2	2.1%
115.489.064	1	1.1%
11.850.048	1	1.1%
11.370.537	1	1.1%
10.354.107	1	1.1%
105.606.351	1	1.1%
112.070.792	1	1.1%
119.229.694	1	1.1%
123.406.294	1	1.1%
Other values (83)	83	87.4%

Most occurring characters

Value	Count	Frequency (%)
.	189	18.4%
1	161	15.7%
0	101	9.8%
9	82	8.0%
2	78	7.6%
6	75	7.3%
4	71	6.9%
8	69	6.7%
3	69	6.7%
7	67	6.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	837	81.6%
Other Punctuation	189	18.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	161	19.2%
0	101	12.1%
9	82	9.8%
2	78	9.3%
6	75	9.0%
4	71	8.5%
8	69	8.2%
3	69	8.2%
7	67	8.0%
5	64	7.6%

Other Punctuation

Value	Count	Frequency (%)
.	189	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1026	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	189	18.4%
1	161	15.7%
0	101	9.8%
9	82	8.0%
2	78	7.6%
6	75	7.3%
4	71	6.9%
8	69	6.7%
3	69	6.7%
7	67	6.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1026	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	189	18.4%
1	161	15.7%
0	101	9.8%
9	82	8.0%
2	78	7.6%
6	75	7.3%
4	71	6.9%
8	69	6.7%
3	69	6.7%
7	67	6.5%

PIB_Restaurantes_y_hoteles
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	93
Distinct (%)	97.9%
Missing	519
Missing (%)	84.5%
Memory size	4.9 KiB

240.435.294	2
25.457.964	2
202.838.669	1
244.101.305	1
252.061.229	1
Other values (88)	88

Length

Max length	11
Median length	11
Mean length	10.86315789
Min length	7

Characters and Unicode

Total characters	1032
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	95.8%

Sample

1st row	202.838.669
2nd row	209.310.713
3rd row	206.481.563
4th row	208.021.235
5th row	212.827.237

Common Values

Value	Count	Frequency (%)
240.435.294	2	0.3%
25.457.964	2	0.3%
202.838.669	1	0.2%
244.101.305	1	0.2%
252.061.229	1	0.2%
245.471.688	1	0.2%
237.605.169	1	0.2%
236.950.838	1	0.2%
236.261.195	1	0.2%
244.276.026	1	0.2%
Other values (83)	83	13.5%
(Missing)	519	84.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
240.435.294	2	2.1%
25.457.964	2	2.1%
202.838.669	1	1.1%
244.101.305	1	1.1%
252.061.229	1	1.1%
245.471.688	1	1.1%
237.605.169	1	1.1%
236.950.838	1	1.1%
236.261.195	1	1.1%
244.276.026	1	1.1%
Other values (83)	83	87.4%

Most occurring characters

Value	Count	Frequency (%)
.	189	18.3%
2	184	17.8%
1	95	9.2%
4	83	8.0%
3	75	7.3%
6	73	7.1%
5	73	7.1%
9	69	6.7%
0	65	6.3%
8	64	6.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	843	81.7%
Other Punctuation	189	18.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	184	21.8%
1	95	11.3%
4	83	9.8%
3	75	8.9%
6	73	8.7%
5	73	8.7%
9	69	8.2%
0	65	7.7%
8	64	7.6%
7	62	7.4%

Other Punctuation

Value	Count	Frequency (%)
.	189	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1032	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	189	18.3%
2	184	17.8%
1	95	9.2%
4	83	8.0%
3	75	7.3%
6	73	7.1%
5	73	7.1%
9	69	6.7%
0	65	6.3%
8	64	6.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1032	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	189	18.3%
2	184	17.8%
1	95	9.2%
4	83	8.0%
3	75	7.3%
6	73	7.1%
5	73	7.1%
9	69	6.7%
0	65	6.3%
8	64	6.2%

PIB_Transporte
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	93
Distinct (%)	97.9%
Missing	519
Missing (%)	84.5%
Memory size	4.9 KiB

648.893.077	2
677.710.328	2
546.694.889	1
596.227.794	1
683.658.628	1
Other values (88)	88

Length

Max length	11
Median length	11
Mean length	10.86315789
Min length	7

Characters and Unicode

Total characters	1032
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	95.8%

Sample

1st row	546.694.889
2nd row	544.306.818
3rd row	536.681.481
4th row	526.589.163
5th row	536.446.432

Common Values

Value	Count	Frequency (%)
648.893.077	2	0.3%
677.710.328	2	0.3%
546.694.889	1	0.2%
596.227.794	1	0.2%
683.658.628	1	0.2%
63.045.062	1	0.2%
625.572.682	1	0.2%
611.412.932	1	0.2%
625.437.444	1	0.2%
612.630.111	1	0.2%
Other values (83)	83	13.5%
(Missing)	519	84.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
648.893.077	2	2.1%
677.710.328	2	2.1%
546.694.889	1	1.1%
596.227.794	1	1.1%
683.658.628	1	1.1%
63.045.062	1	1.1%
625.572.682	1	1.1%
611.412.932	1	1.1%
625.437.444	1	1.1%
612.630.111	1	1.1%
Other values (83)	83	87.4%

Most occurring characters

Value	Count	Frequency (%)
.	189	18.3%
6	125	12.1%
5	121	11.7%
4	85	8.2%
1	81	7.8%
8	79	7.7%
2	75	7.3%
7	75	7.3%
9	71	6.9%
3	70	6.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	843	81.7%
Other Punctuation	189	18.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
6	125	14.8%
5	121	14.4%
4	85	10.1%
1	81	9.6%
8	79	9.4%
2	75	8.9%
7	75	8.9%
9	71	8.4%
3	70	8.3%
0	61	7.2%

Other Punctuation

Value	Count	Frequency (%)
.	189	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1032	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	189	18.3%
6	125	12.1%
5	121	11.7%
4	85	8.2%
1	81	7.8%
8	79	7.7%
2	75	7.3%
7	75	7.3%
9	71	6.9%
3	70	6.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1032	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	189	18.3%
6	125	12.1%
5	121	11.7%
4	85	8.2%
1	81	7.8%
8	79	7.7%
2	75	7.3%
7	75	7.3%
9	71	6.9%
3	70	6.8%

PIB_Comunicaciones
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	93
Distinct (%)	97.9%
Missing	519
Missing (%)	84.5%
Memory size	4.9 KiB

417.627.795	2
422.758.463	2
337.915.263	1
390.410.157	1
446.302.808	1
Other values (88)	88

Length

Max length	11
Median length	11
Mean length	10.86315789
Min length	9

Characters and Unicode

Total characters	1032
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	95.8%

Sample

1st row	337.915.263
2nd row	348.801.015
3rd row	355.711.814
4th row	353.452.988
5th row	353.028.667

Common Values

Value	Count	Frequency (%)
417.627.795	2	0.3%
422.758.463	2	0.3%
337.915.263	1	0.2%
390.410.157	1	0.2%
446.302.808	1	0.2%
422.285.543	1	0.2%
413.869.295	1	0.2%
421.381.256	1	0.2%
421.209.826	1	0.2%
419.067.114	1	0.2%
Other values (83)	83	13.5%
(Missing)	519	84.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
417.627.795	2	2.1%
422.758.463	2	2.1%
337.915.263	1	1.1%
390.410.157	1	1.1%
446.302.808	1	1.1%
422.285.543	1	1.1%
413.869.295	1	1.1%
421.381.256	1	1.1%
421.209.826	1	1.1%
419.067.114	1	1.1%
Other values (83)	83	87.4%

Most occurring characters

Value	Count	Frequency (%)
.	190	18.4%
3	118	11.4%
4	115	11.1%
5	86	8.3%
9	83	8.0%
1	81	7.8%
7	76	7.4%
8	75	7.3%
0	72	7.0%
2	71	6.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	842	81.6%
Other Punctuation	190	18.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	118	14.0%
4	115	13.7%
5	86	10.2%
9	83	9.9%
1	81	9.6%
7	76	9.0%
8	75	8.9%
0	72	8.6%
2	71	8.4%
6	65	7.7%

Other Punctuation

Value	Count	Frequency (%)
.	190	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1032	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	190	18.4%
3	118	11.4%
4	115	11.1%
5	86	8.3%
9	83	8.0%
1	81	7.8%
7	76	7.4%
8	75	7.3%
0	72	7.0%
2	71	6.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1032	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	190	18.4%
3	118	11.4%
4	115	11.1%
5	86	8.3%
9	83	8.0%
1	81	7.8%
7	76	7.4%
8	75	7.3%
0	72	7.0%
2	71	6.9%

PIB_Servicios_financieros
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	93
Distinct (%)	97.9%
Missing	519
Missing (%)	84.5%
Memory size	4.9 KiB

686.888.472	2
721.694.151	2
5.691.837	1
66.938.294	1
679.700.528	1
Other values (88)	88

Length

Max length	11
Median length	11
Mean length	10.85263158
Min length	9

Characters and Unicode

Total characters	1031
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	95.8%

Sample

1st row	5.691.837
2nd row	565.071.466
3rd row	571.394.036
4th row	573.271.479
5th row	574.971.364

Common Values

Value	Count	Frequency (%)
686.888.472	2	0.3%
721.694.151	2	0.3%
5.691.837	1	0.2%
66.938.294	1	0.2%
679.700.528	1	0.2%
676.713.154	1	0.2%
67.900.373	1	0.2%
678.036.799	1	0.2%
678.738.468	1	0.2%
668.992.277	1	0.2%
Other values (83)	83	13.5%
(Missing)	519	84.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
686.888.472	2	2.1%
721.694.151	2	2.1%
5.691.837	1	1.1%
66.938.294	1	1.1%
679.700.528	1	1.1%
676.713.154	1	1.1%
67.900.373	1	1.1%
678.036.799	1	1.1%
678.738.468	1	1.1%
668.992.277	1	1.1%
Other values (83)	83	87.4%

Most occurring characters

Value	Count	Frequency (%)
.	190	18.4%
6	133	12.9%
7	110	10.7%
5	89	8.6%
3	83	8.1%
8	80	7.8%
9	79	7.7%
1	79	7.7%
2	68	6.6%
4	64	6.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	841	81.6%
Other Punctuation	190	18.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
6	133	15.8%
7	110	13.1%
5	89	10.6%
3	83	9.9%
8	80	9.5%
9	79	9.4%
1	79	9.4%
2	68	8.1%
4	64	7.6%
0	56	6.7%

Other Punctuation

Value	Count	Frequency (%)
.	190	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1031	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	190	18.4%
6	133	12.9%
7	110	10.7%
5	89	8.6%
3	83	8.1%
8	80	7.8%
9	79	7.7%
1	79	7.7%
2	68	6.6%
4	64	6.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1031	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	190	18.4%
6	133	12.9%
7	110	10.7%
5	89	8.6%
3	83	8.1%
8	80	7.8%
9	79	7.7%
1	79	7.7%
2	68	6.6%
4	64	6.2%

PIB_Servicios_empresariales
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	93
Distinct (%)	97.9%
Missing	519
Missing (%)	84.5%
Memory size	4.9 KiB

120.587.594	2
125.273.783	2
11.393.886	1
112.452.457	1
121.951.695	1
Other values (88)	88

Length

Max length	11
Median length	11
Mean length	10.92631579
Min length	10

Characters and Unicode

Total characters	1038
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	95.8%

Sample

1st row	11.393.886
2nd row	121.229.491
3rd row	125.792.137
4th row	125.565.876
5th row	124.038.548

Common Values

Value	Count	Frequency (%)
120.587.594	2	0.3%
125.273.783	2	0.3%
11.393.886	1	0.2%
112.452.457	1	0.2%
121.951.695	1	0.2%
122.441.225	1	0.2%
12.228.733	1	0.2%
124.051.998	1	0.2%
126.095.781	1	0.2%
124.862.109	1	0.2%
Other values (83)	83	13.5%
(Missing)	519	84.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
120.587.594	2	2.1%
125.273.783	2	2.1%
11.393.886	1	1.1%
112.452.457	1	1.1%
121.951.695	1	1.1%
122.441.225	1	1.1%
12.228.733	1	1.1%
124.051.998	1	1.1%
126.095.781	1	1.1%
124.862.109	1	1.1%
Other values (83)	83	87.4%

Most occurring characters

Value	Count	Frequency (%)
1	195	18.8%
.	190	18.3%
2	110	10.6%
3	94	9.1%
9	69	6.6%
8	68	6.6%
5	68	6.6%
7	66	6.4%
4	63	6.1%
6	62	6.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	848	81.7%
Other Punctuation	190	18.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	195	23.0%
2	110	13.0%
3	94	11.1%
9	69	8.1%
8	68	8.0%
5	68	8.0%
7	66	7.8%
4	63	7.4%
6	62	7.3%
0	53	6.2%

Other Punctuation

Value	Count	Frequency (%)
.	190	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1038	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	195	18.8%
.	190	18.3%
2	110	10.6%
3	94	9.1%
9	69	6.6%
8	68	6.6%
5	68	6.6%
7	66	6.4%
4	63	6.1%
6	62	6.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1038	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	195	18.8%
.	190	18.3%
2	110	10.6%
3	94	9.1%
9	69	6.6%
8	68	6.6%
5	68	6.6%
7	66	6.4%
4	63	6.1%
6	62	6.0%

PIB_Servicios_de_vivienda
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	93
Distinct (%)	97.9%
Missing	519
Missing (%)	84.5%
Memory size	4.9 KiB

945.484.562	2
967.408.358	2
793.471.519	1
926.675.063	1
956.877.977	1
Other values (88)	88

Length

Max length	11
Median length	11
Mean length	10.84210526
Min length	10

Characters and Unicode

Total characters	1030
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	95.8%

Sample

1st row	793.471.519
2nd row	80.455.108
3rd row	805.307.434
4th row	811.366.828
5th row	813.086.052

Common Values

Value	Count	Frequency (%)
945.484.562	2	0.3%
967.408.358	2	0.3%
793.471.519	1	0.2%
926.675.063	1	0.2%
956.877.977	1	0.2%
951.544.638	1	0.2%
945.056.979	1	0.2%
942.442.625	1	0.2%
936.799.866	1	0.2%
932.720.591	1	0.2%
Other values (83)	83	13.5%
(Missing)	519	84.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
945.484.562	2	2.1%
967.408.358	2	2.1%
793.471.519	1	1.1%
926.675.063	1	1.1%
956.877.977	1	1.1%
951.544.638	1	1.1%
945.056.979	1	1.1%
942.442.625	1	1.1%
936.799.866	1	1.1%
932.720.591	1	1.1%
Other values (83)	83	87.4%

Most occurring characters

Value	Count	Frequency (%)
.	190	18.4%
9	124	12.0%
8	122	11.8%
7	86	8.3%
5	85	8.3%
2	81	7.9%
6	77	7.5%
4	74	7.2%
1	69	6.7%
0	67	6.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	840	81.6%
Other Punctuation	190	18.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
9	124	14.8%
8	122	14.5%
7	86	10.2%
5	85	10.1%
2	81	9.6%
6	77	9.2%
4	74	8.8%
1	69	8.2%
0	67	8.0%
3	55	6.5%

Other Punctuation

Value	Count	Frequency (%)
.	190	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1030	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	190	18.4%
9	124	12.0%
8	122	11.8%
7	86	8.3%
5	85	8.3%
2	81	7.9%
6	77	7.5%
4	74	7.2%
1	69	6.7%
0	67	6.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1030	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	190	18.4%
9	124	12.0%
8	122	11.8%
7	86	8.3%
5	85	8.3%
2	81	7.9%
6	77	7.5%
4	74	7.2%
1	69	6.7%
0	67	6.5%

PIB_Servicios_personales
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	93
Distinct (%)	97.9%
Missing	519
Missing (%)	84.5%
Memory size	4.9 KiB

17.263.425	2
183.739.178	2
140.103.913	1
817.476.045	1
175.191.477	1
Other values (88)	88

Length

Max length	11
Median length	11
Mean length	10.91578947
Min length	10

Characters and Unicode

Total characters	1037
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	95.8%

Sample

1st row	140.103.913
2nd row	144.685.333
3rd row	147.859.706
4th row	146.903.407
5th row	108.506.835

Common Values

Value	Count	Frequency (%)
17.263.425	2	0.3%
183.739.178	2	0.3%
140.103.913	1	0.2%
817.476.045	1	0.2%
175.191.477	1	0.2%
150.888.035	1	0.2%
131.921.093	1	0.2%
174.286.027	1	0.2%
176.960.921	1	0.2%
174.708.802	1	0.2%
Other values (83)	83	13.5%
(Missing)	519	84.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
17.263.425	2	2.1%
183.739.178	2	2.1%
140.103.913	1	1.1%
817.476.045	1	1.1%
175.191.477	1	1.1%
150.888.035	1	1.1%
131.921.093	1	1.1%
174.286.027	1	1.1%
176.960.921	1	1.1%
174.708.802	1	1.1%
Other values (83)	83	87.4%

Most occurring characters

Value	Count	Frequency (%)
.	190	18.3%
1	141	13.6%
6	94	9.1%
7	93	9.0%
5	87	8.4%
8	86	8.3%
3	77	7.4%
4	71	6.8%
0	68	6.6%
2	67	6.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	847	81.7%
Other Punctuation	190	18.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	141	16.6%
6	94	11.1%
7	93	11.0%
5	87	10.3%
8	86	10.2%
3	77	9.1%
4	71	8.4%
0	68	8.0%
2	67	7.9%
9	63	7.4%

Other Punctuation

Value	Count	Frequency (%)
.	190	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1037	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	190	18.3%
1	141	13.6%
6	94	9.1%
7	93	9.0%
5	87	8.4%
8	86	8.3%
3	77	7.4%
4	71	6.8%
0	68	6.6%
2	67	6.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1037	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	190	18.3%
1	141	13.6%
6	94	9.1%
7	93	9.0%
5	87	8.4%
8	86	8.3%
3	77	7.4%
4	71	6.8%
0	68	6.6%
2	67	6.5%

PIB_Administracion_publica
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	93
Distinct (%)	97.9%
Missing	519
Missing (%)	84.5%
Memory size	4.9 KiB

585.841.147	2
602.606.484	2
512.994.015	1
573.039.158	1
593.634.385	1
Other values (88)	88

Length

Max length	11
Median length	11
Mean length	10.89473684
Min length	9

Characters and Unicode

Total characters	1035
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	95.8%

Sample

1st row	512.994.015
2nd row	511.803.995
3rd row	512.469.359
4th row	514.736.611
5th row	515.375.539

Common Values

Value	Count	Frequency (%)
585.841.147	2	0.3%
602.606.484	2	0.3%
512.994.015	1	0.2%
573.039.158	1	0.2%
593.634.385	1	0.2%
592.310.781	1	0.2%
584.276.989	1	0.2%
584.471.376	1	0.2%
5.806.427	1	0.2%
577.423.054	1	0.2%
Other values (83)	83	13.5%
(Missing)	519	84.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
585.841.147	2	2.1%
602.606.484	2	2.1%
512.994.015	1	1.1%
573.039.158	1	1.1%
593.634.385	1	1.1%
592.310.781	1	1.1%
584.276.989	1	1.1%
584.471.376	1	1.1%
5.806.427	1	1.1%
577.423.054	1	1.1%
Other values (83)	83	87.4%

Most occurring characters

Value	Count	Frequency (%)
.	190	18.4%
5	150	14.5%
6	95	9.2%
4	82	7.9%
1	81	7.8%
2	81	7.8%
8	74	7.1%
3	73	7.1%
9	72	7.0%
0	69	6.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	845	81.6%
Other Punctuation	190	18.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	150	17.8%
6	95	11.2%
4	82	9.7%
1	81	9.6%
2	81	9.6%
8	74	8.8%
3	73	8.6%
9	72	8.5%
0	69	8.2%
7	68	8.0%

Other Punctuation

Value	Count	Frequency (%)
.	190	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1035	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	190	18.4%
5	150	14.5%
6	95	9.2%
4	82	7.9%
1	81	7.8%
2	81	7.8%
8	74	7.1%
3	73	7.1%
9	72	7.0%
0	69	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1035	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	190	18.4%
5	150	14.5%
6	95	9.2%
4	82	7.9%
1	81	7.8%
2	81	7.8%
8	74	7.1%
3	73	7.1%
9	72	7.0%
0	69	6.7%

PIB_a_costo_de_factores
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	93
Distinct (%)	97.9%
Missing	519
Missing (%)	84.5%
Memory size	4.9 KiB

11.510.209	2
11955.81	2
108.482.797	1
107.541.772	1
119.147.799	1
Other values (88)	88

Length

Max length	11
Median length	11
Mean length	10.73684211
Min length	7

Characters and Unicode

Total characters	1020
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	95.8%

Sample

1st row	108.482.797
2nd row	107.193.235
3rd row	107.210.039
4th row	105.389.875
5th row	101.167.369

Common Values

Value	Count	Frequency (%)
11.510.209	2	0.3%
11955.81	2	0.3%
108.482.797	1	0.2%
107.541.772	1	0.2%
119.147.799	1	0.2%
109.937.357	1	0.2%
110.714.545	1	0.2%
116.063.424	1	0.2%
119.552.233	1	0.2%
119.393.917	1	0.2%
Other values (83)	83	13.5%
(Missing)	519	84.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
11.510.209	2	2.1%
11955.81	2	2.1%
108.482.797	1	1.1%
107.541.772	1	1.1%
119.147.799	1	1.1%
109.937.357	1	1.1%
110.714.545	1	1.1%
116.063.424	1	1.1%
119.552.233	1	1.1%
119.393.917	1	1.1%
Other values (83)	83	87.4%

Most occurring characters

Value	Count	Frequency (%)
1	203	19.9%
.	186	18.2%
0	89	8.7%
9	84	8.2%
5	79	7.7%
2	74	7.3%
7	71	7.0%
4	67	6.6%
8	62	6.1%
6	55	5.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	834	81.8%
Other Punctuation	186	18.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	203	24.3%
0	89	10.7%
9	84	10.1%
5	79	9.5%
2	74	8.9%
7	71	8.5%
4	67	8.0%
8	62	7.4%
6	55	6.6%
3	50	6.0%

Other Punctuation

Value	Count	Frequency (%)
.	186	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1020	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	203	19.9%
.	186	18.2%
0	89	8.7%
9	84	8.2%
5	79	7.7%
2	74	7.3%
7	71	7.0%
4	67	6.6%
8	62	6.1%
6	55	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1020	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	203	19.9%
.	186	18.2%
0	89	8.7%
9	84	8.2%
5	79	7.7%
2	74	7.3%
7	71	7.0%
4	67	6.6%
8	62	6.1%
6	55	5.4%

Impuesto_al_valor_agregado
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	93
Distinct (%)	97.9%
Missing	519
Missing (%)	84.5%
Memory size	4.9 KiB

104.105.171	2
107.485.012	2
896.688.023	1
949.689.852	1
105.894.111	1
Other values (88)	88

Length

Max length	11
Median length	11
Mean length	10.91578947
Min length	9

Characters and Unicode

Total characters	1037
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	95.8%

Sample

1st row	896.688.023
2nd row	901.755.563
3rd row	913.850.432
4th row	883.855.814
5th row	912.662.417

Common Values

Value	Count	Frequency (%)
104.105.171	2	0.3%
107.485.012	2	0.3%
896.688.023	1	0.2%
949.689.852	1	0.2%
105.894.111	1	0.2%
101.717.182	1	0.2%
100.895.311	1	0.2%
103.528.725	1	0.2%
105.476.053	1	0.2%
100.871.205	1	0.2%
Other values (83)	83	13.5%
(Missing)	519	84.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
104.105.171	2	2.1%
107.485.012	2	2.1%
896.688.023	1	1.1%
949.689.852	1	1.1%
105.894.111	1	1.1%
101.717.182	1	1.1%
100.895.311	1	1.1%
103.528.725	1	1.1%
105.476.053	1	1.1%
100.871.205	1	1.1%
Other values (83)	83	87.4%

Most occurring characters

Value	Count	Frequency (%)
.	190	18.3%
1	121	11.7%
9	106	10.2%
0	89	8.6%
8	82	7.9%
2	81	7.8%
5	79	7.6%
4	77	7.4%
3	71	6.8%
7	71	6.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	847	81.7%
Other Punctuation	190	18.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	121	14.3%
9	106	12.5%
0	89	10.5%
8	82	9.7%
2	81	9.6%
5	79	9.3%
4	77	9.1%
3	71	8.4%
7	71	8.4%
6	70	8.3%

Other Punctuation

Value	Count	Frequency (%)
.	190	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1037	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	190	18.3%
1	121	11.7%
9	106	10.2%
0	89	8.6%
8	82	7.9%
2	81	7.8%
5	79	7.6%
4	77	7.4%
3	71	6.8%
7	71	6.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1037	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	190	18.3%
1	121	11.7%
9	106	10.2%
0	89	8.6%
8	82	7.9%
2	81	7.8%
5	79	7.6%
4	77	7.4%
3	71	6.8%
7	71	6.8%

Derechos_de_Importacion
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	93
Distinct (%)	97.9%
Missing	519
Missing (%)	84.5%
Memory size	4.9 KiB

515.511.264	2
541.399.162	2
659.936.009	1
648.784.162	1
654.584.745	1
Other values (88)	88

Length

Max length	11
Median length	11
Mean length	10.87368421
Min length	9

Characters and Unicode

Total characters	1033
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	95.8%

Sample

1st row	659.936.009
2nd row	59.890.634
3rd row	436.004.645
4th row	474.261.003
5th row	546.557.712

Common Values

Value	Count	Frequency (%)
515.511.264	2	0.3%
541.399.162	2	0.3%
659.936.009	1	0.2%
648.784.162	1	0.2%
654.584.745	1	0.2%
543.564.614	1	0.2%
672.817.596	1	0.2%
707.103.423	1	0.2%
711.033.578	1	0.2%
594.958.819	1	0.2%
Other values (83)	83	13.5%
(Missing)	519	84.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
515.511.264	2	2.1%
541.399.162	2	2.1%
659.936.009	1	1.1%
648.784.162	1	1.1%
654.584.745	1	1.1%
543.564.614	1	1.1%
672.817.596	1	1.1%
707.103.423	1	1.1%
711.033.578	1	1.1%
594.958.819	1	1.1%
Other values (83)	83	87.4%

Most occurring characters

Value	Count	Frequency (%)
.	190	18.4%
6	117	11.3%
5	106	10.3%
4	103	10.0%
3	82	7.9%
8	79	7.6%
7	79	7.6%
2	73	7.1%
0	70	6.8%
1	70	6.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	843	81.6%
Other Punctuation	190	18.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
6	117	13.9%
5	106	12.6%
4	103	12.2%
3	82	9.7%
8	79	9.4%
7	79	9.4%
2	73	8.7%
0	70	8.3%
1	70	8.3%
9	64	7.6%

Other Punctuation

Value	Count	Frequency (%)
.	190	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1033	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	190	18.4%
6	117	11.3%
5	106	10.3%
4	103	10.0%
3	82	7.9%
8	79	7.6%
7	79	7.6%
2	73	7.1%
0	70	6.8%
1	70	6.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1033	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	190	18.4%
6	117	11.3%
5	106	10.3%
4	103	10.0%
3	82	7.9%
8	79	7.6%
7	79	7.6%
2	73	7.1%
0	70	6.8%
1	70	6.8%

PIB
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	93
Distinct (%)	97.9%
Missing	519
Missing (%)	84.5%
Memory size	4.9 KiB

12.603.131	2
130.851.849	2
118.109.613	1
117.685.853	1
130.391.916	1
Other values (88)	88

Length

Max length	11
Median length	11
Mean length	10.91578947
Min length	10

Characters and Unicode

Total characters	1037
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	95.8%

Sample

1st row	118.109.613
2nd row	116.809.697
3rd row	116.784.548
4th row	114.702.694
5th row	11.084.055

Common Values

Value	Count	Frequency (%)
12.603.131	2	0.3%
130.851.849	2	0.3%
118.109.613	1	0.2%
117.685.853	1	0.2%
130.391.916	1	0.2%
120.652.343	1	0.2%
121.473.037	1	0.2%
127.120.748	1	0.2%
130.809.527	1	0.2%
130.081.741	1	0.2%
Other values (83)	83	13.5%
(Missing)	519	84.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
12.603.131	2	2.1%
130.851.849	2	2.1%
118.109.613	1	1.1%
117.685.853	1	1.1%
130.391.916	1	1.1%
120.652.343	1	1.1%
121.473.037	1	1.1%
127.120.748	1	1.1%
130.809.527	1	1.1%
130.081.741	1	1.1%
Other values (83)	83	87.4%

Most occurring characters

Value	Count	Frequency (%)
1	210	20.3%
.	190	18.3%
2	99	9.5%
3	84	8.1%
8	79	7.6%
0	73	7.0%
7	70	6.8%
9	62	6.0%
4	58	5.6%
6	56	5.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	847	81.7%
Other Punctuation	190	18.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	210	24.8%
2	99	11.7%
3	84	9.9%
8	79	9.3%
0	73	8.6%
7	70	8.3%
9	62	7.3%
4	58	6.8%
6	56	6.6%
5	56	6.6%

Other Punctuation

Value	Count	Frequency (%)
.	190	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1037	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	210	20.3%
.	190	18.3%
2	99	9.5%
3	84	8.1%
8	79	7.6%
0	73	7.0%
7	70	6.8%
9	62	6.0%
4	58	5.6%
6	56	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1037	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	210	20.3%
.	190	18.3%
2	99	9.5%
3	84	8.1%
8	79	7.6%
0	73	7.0%
7	70	6.8%
9	62	6.0%
4	58	5.6%
6	56	5.4%

Precio_de_la_gasolina_en_EEUU_dolaresm3
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	581
Distinct (%)	97.8%
Missing	20
Missing (%)	3.3%
Memory size	4.9 KiB

28.4	6
132.97	2
120.92	2
245.26	2
53.532.204	2
Other values (576)	580

Length

Max length	10
Median length	6
Mean length	7.397306397
Min length	2

Characters and Unicode

Total characters	4394
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	572 ?
Unique (%)	96.3%

Sample

1st row	7.638.022
2nd row	71.088.294
3rd row	7.166.425
4th row	70.787.106
5th row	75.233.592

Common Values

Value	Count	Frequency (%)
28.4	6	1.0%
132.97	2	0.3%
120.92	2	0.3%
245.26	2	0.3%
53.532.204	2	0.3%
134.29	2	0.3%
20.602.316	2	0.3%
43.529.592	2	0.3%
105.63	2	0.3%
158.1	1	0.2%
Other values (571)	571	93.0%
(Missing)	20	3.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
28.4	6	1.0%
120.92	2	0.3%
53.532.204	2	0.3%
132.97	2	0.3%
105.63	2	0.3%
245.26	2	0.3%
134.29	2	0.3%
20.602.316	2	0.3%
43.529.592	2	0.3%
158.1	1	0.2%
Other values (571)	571	96.1%

Most occurring characters

Value	Count	Frequency (%)
.	834	19.0%
1	499	11.4%
2	489	11.1%
6	377	8.6%
4	358	8.1%
3	345	7.9%
5	329	7.5%
8	314	7.1%
9	300	6.8%
7	275	6.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3560	81.0%
Other Punctuation	834	19.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	499	14.0%
2	489	13.7%
6	377	10.6%
4	358	10.1%
3	345	9.7%
5	329	9.2%
8	314	8.8%
9	300	8.4%
7	275	7.7%
0	274	7.7%

Other Punctuation

Value	Count	Frequency (%)
.	834	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4394	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	834	19.0%
1	499	11.4%
2	489	11.1%
6	377	8.6%
4	358	8.1%
3	345	7.9%
5	329	7.5%
8	314	7.1%
9	300	6.8%
7	275	6.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4394	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	834	19.0%
1	499	11.4%
2	489	11.1%
6	377	8.6%
4	358	8.1%
3	345	7.9%
5	329	7.5%
8	314	7.1%
9	300	6.8%
7	275	6.3%

Precio_de_la_onza_troy_de_oro_dolaresoz
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	607
Distinct (%)	99.0%
Missing	1
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%
Mean	578.7065742

Minimum	34.94
Maximum	1969.78
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.9 KiB

Quantile statistics

Minimum	34.94
5-th percentile	63.51
Q1	292.54
median	385.04
Q3	828.8
95-th percentile	1565.588
Maximum	1969.78
Range	1934.84
Interquartile range (IQR)	536.26

Descriptive statistics

Standard deviation	468.0186464
Coefficient of variation (CV)	0.8087322095
Kurtosis	0.0363178328
Mean	578.7065742
Median Absolute Deviation (MAD)	128.78
Skewness	1.118536147
Sum	354747.13
Variance	219041.4534
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
412.84	2	0.3%
384.53	2	0.3%
37.44	2	0.3%
1200.36	2	0.3%
1503.5	2	0.3%
387.7	2	0.3%
385.58	1	0.2%
361.72	1	0.2%
366.72	1	0.2%
367.68	1	0.2%
Other values (597)	597	97.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
34.94	1	0.2%
34.99	1	0.2%
35.09	1	0.2%
35.32	1	0.2%
35.38	1	0.2%
35.44	1	0.2%
35.62	1	0.2%
35.95	1	0.2%
36.19	1	0.2%
37.44	2	0.3%

Value	Count	Frequency (%)
1969.78	1	0.2%
1923.35	1	0.2%
1900.36	1	0.2%
1866.35	1	0.2%
1846.37	1	0.2%
1772	1	0.2%
1763.93	1	0.2%
1745.78	1	0.2%
1744.36	1	0.2%
1741.63	1	0.2%

Precio_de_la_onza_troy_de_plata_dolaresoz
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	508
Distinct (%)	82.9%
Missing	1
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%
Mean	54.20212268

Minimum	1.32
Maximum	431.028
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.9 KiB

Quantile statistics

Minimum	1.32
5-th percentile	1.85
Q1	4.76
median	6.08
Q3	35.08
95-th percentile	237.2562
Maximum	431.028
Range	429.708
Interquartile range (IQR)	30.32

Descriptive statistics

Standard deviation	89.49385665
Coefficient of variation (CV)	1.651113503
Kurtosis	2.183778536
Mean	54.20212268
Median Absolute Deviation (MAD)	2.03
Skewness	1.73778326
Sum	33225.9012
Variance	8009.150378
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4.83	5	0.8%
5.37	4	0.7%
4.78	4	0.7%
4.05	4	0.7%
5.19	4	0.7%
5.55	4	0.7%
4.07	3	0.5%
5.66	3	0.5%
4.37	3	0.5%
4.76	3	0.5%
Other values (498)	576	93.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.32	1	0.2%
1.34	1	0.2%
1.39	1	0.2%
1.42	1	0.2%
1.47	1	0.2%
1.5	1	0.2%
1.54	1	0.2%
1.57	2	0.3%
1.58	2	0.3%
1.59	1	0.2%

Value	Count	Frequency (%)
431.028	1	0.2%
403.443	1	0.2%
381.212	1	0.2%
380.417	1	0.2%
368.654	1	0.2%
359.138	1	0.2%
357.593	1	0.2%
342.108	1	0.2%
338.057	1	0.2%
332.532	1	0.2%

Precio_del_cobre_refinado_BML_dolareslibra
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	474
Distinct (%)	77.3%
Missing	1
Missing (%)	0.2%
Memory size	4.9 KiB

01.01	7
0.79	6
1	6
0.75	5
1.1	5
Other values (469)	584

Length

Max length	11
Median length	4
Mean length	6.468189233
Min length	1

Characters and Unicode

Total characters	3965
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	387 ?
Unique (%)	63.1%

Sample

1st row	347.586.864
2nd row	326.742.266
3rd row	327.913
4th row	317.701.624
5th row	312.663.522

Common Values

Value	Count	Frequency (%)
01.01	7	1.1%
0.79	6	1.0%
1	6	1.0%
0.75	5	0.8%
1.1	5	0.8%
01.07	5	0.8%
1.14	5	0.8%
0.65	4	0.7%
0.63	4	0.7%
1.11	4	0.7%
Other values (464)	562	91.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
01.01	7	1.1%
0.79	6	1.0%
1	6	1.0%
0.75	5	0.8%
1.14	5	0.8%
01.07	5	0.8%
1.1	5	0.8%
0.63	4	0.7%
1.11	4	0.7%
0.65	4	0.7%
Other values (464)	562	91.7%

Most occurring characters

Value	Count	Frequency (%)
.	686	17.3%
1	433	10.9%
3	352	8.9%
0	342	8.6%
6	339	8.5%
2	333	8.4%
4	321	8.1%
7	317	8.0%
8	292	7.4%
5	275	6.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3279	82.7%
Other Punctuation	686	17.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	433	13.2%
3	352	10.7%
0	342	10.4%
6	339	10.3%
2	333	10.2%
4	321	9.8%
7	317	9.7%
8	292	8.9%
5	275	8.4%
9	275	8.4%

Other Punctuation

Value	Count	Frequency (%)
.	686	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3965	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	686	17.3%
1	433	10.9%
3	352	8.9%
0	342	8.6%
6	339	8.5%
2	333	8.4%
4	321	8.1%
7	317	8.0%
8	292	7.4%
5	275	6.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3965	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	686	17.3%
1	433	10.9%
3	352	8.9%
0	342	8.6%
6	339	8.5%
2	333	8.4%
4	321	8.1%
7	317	8.0%
8	292	7.4%
5	275	6.9%

Precio_del_diesel_centavos_de_dolargalon
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	170
Distinct (%)	98.8%
Missing	442
Missing (%)	72.0%
Infinite	0
Infinite (%)	0.0%
Mean	215.3375581

Minimum	79.49
Maximum	384.38
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.9 KiB

Quantile statistics

Minimum	79.49
5-th percentile	112.3625
Q1	162.4475
median	200.34
Q3	286.3925
95-th percentile	319.569
Maximum	384.38
Range	304.89
Interquartile range (IQR)	123.945

Descriptive statistics

Standard deviation	68.62522427
Coefficient of variation (CV)	0.3186867394
Kurtosis	-0.8549968379
Mean	215.3375581
Median Absolute Deviation (MAD)	53.425
Skewness	0.2820047986
Sum	37038.06
Variance	4709.421406
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
178.74	2	0.3%
211.37	2	0.3%
293.58	1	0.2%
244.65	1	0.2%
210.6	1	0.2%
206.57	1	0.2%
204.2	1	0.2%
209.35	1	0.2%
213.26	1	0.2%
225.06	1	0.2%
Other values (160)	160	26.1%
(Missing)	442	72.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
79.49	1	0.2%
84.16	1	0.2%
95.45	1	0.2%
99.37	1	0.2%
108.52	1	0.2%
108.76	1	0.2%
108.84	1	0.2%
111.15	1	0.2%
111.84	1	0.2%
112.79	1	0.2%

Value	Count	Frequency (%)
384.38	1	0.2%
381.2	1	0.2%
373.11	1	0.2%
334.01	1	0.2%
326.87	1	0.2%
324.06	1	0.2%
323.04	1	0.2%
321.64	1	0.2%
320.35	1	0.2%
318.93	1	0.2%

Precio_del_gas_natural_dolaresmillon_de_unidades_termicas_britanicas
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	246
Distinct (%)	97.2%
Missing	361
Missing (%)	58.8%
Infinite	0
Infinite (%)	0.0%
Mean	5.055426482

Minimum	1.6128
Maximum	136.338
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.9 KiB

Quantile statistics

Minimum	1.6128
5-th percentile	2.00118
Q1	2.8638
median	3.8851
Q3	5.93
95-th percentile	9.0564
Maximum	136.338
Range	134.7252
Interquartile range (IQR)	3.0662

Descriptive statistics

Standard deviation	8.580500301
Coefficient of variation (CV)	1.697285151
Kurtosis	219.6805116
Mean	5.055426482
Median Absolute Deviation (MAD)	1.1851
Skewness	14.33673728
Sum	1279.0229
Variance	73.62498542
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5.36	3	0.5%
2.9677	2	0.3%
3.29	2	0.3%
2.2262	2	0.3%
3.19	2	0.3%
3.8	2	0.3%
2.65	1	0.2%
2.57	1	0.2%
2.77	1	0.2%
3.8117	1	0.2%
Other values (236)	236	38.4%
(Missing)	361	58.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.6128	1	0.2%
1.7044	1	0.2%
1.7352	1	0.2%
1.7386	1	0.2%
1.7525	1	0.2%
1.7927	1	0.2%
1.9033	1	0.2%
1.9158	1	0.2%
1.9186	1	0.2%
1.9214	1	0.2%

Value	Count	Frequency (%)
136.338	1	0.2%
13.049	1	0.2%
12.6824	1	0.2%
12.5315	1	0.2%
11.2676	1	0.2%
11.0836	1	0.2%
10.71	1	0.2%
10.62	1	0.2%
10.3005	1	0.2%
10.18	1	0.2%

Precio_del_petroleo_Brent_dolaresbarril
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	248
Distinct (%)	98.0%
Missing	361
Missing (%)	58.8%
Infinite	0
Infinite (%)	0.0%
Mean	63.67320158

Minimum	18.6
Maximum	133.9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.9 KiB

Quantile statistics

Minimum	18.6
5-th percentile	25.086
Q1	39.93
median	59.37
Q3	79.27
95-th percentile	113.532
Maximum	133.9
Range	115.3
Interquartile range (IQR)	39.34

Descriptive statistics

Standard deviation	29.70482433
Coefficient of variation (CV)	0.4665200366
Kurtosis	-0.8485016692
Mean	63.67320158
Median Absolute Deviation (MAD)	19.72
Skewness	0.450295005
Sum	16109.32
Variance	882.3765885
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
73.13	2	0.3%
25.64	2	0.3%
59.25	2	0.3%
27.55	2	0.3%
62.33	2	0.3%
25.65	1	0.2%
23.69	1	0.2%
20.29	1	0.2%
19.49	1	0.2%
24.13	1	0.2%
Other values (238)	238	38.8%
(Missing)	361	58.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
18.6	1	0.2%
18.94	1	0.2%
19.49	1	0.2%
20.29	1	0.2%
20.48	1	0.2%
22.54	1	0.2%
23.34	1	0.2%
23.69	1	0.2%
24.13	1	0.2%
24.18	1	0.2%

Value	Count	Frequency (%)
133.9	1	0.2%
133.05	1	0.2%
124.93	1	0.2%
123.94	1	0.2%
123.04	1	0.2%
120.46	1	0.2%
119.7	1	0.2%
116.46	1	0.2%
116.45	1	0.2%
114.46	1	0.2%

Precio_del_kerosene_dolaresm3
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	250
Distinct (%)	98.8%
Missing	361
Missing (%)	58.8%
Memory size	4.9 KiB

5.319.667	2
43.991.942	2
44.221.796	2
16.385.684	1
17.976.168	1
Other values (245)	245

Length

Max length	10
Median length	10
Mean length	9.743083004
Min length	7

Characters and Unicode

Total characters	2465
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	247 ?
Unique (%)	97.6%

Sample

1st row	76.520.246
2nd row	71.791.066
3rd row	71.318.148
4th row	72.065.834
5th row	7.488.749

Common Values

Value	Count	Frequency (%)
5.319.667	2	0.3%
43.991.942	2	0.3%
44.221.796	2	0.3%
16.385.684	1	0.2%
17.976.168	1	0.2%
1.895.635	1	0.2%
18.359.258	1	0.2%
15.947.112	1	0.2%
13.846.722	1	0.2%
13.220.568	1	0.2%
Other values (240)	240	39.1%
(Missing)	361	58.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
5.319.667	2	0.8%
43.991.942	2	0.8%
44.221.796	2	0.8%
16.385.684	1	0.4%
19.574.578	1	0.4%
17.976.168	1	0.4%
1.895.635	1	0.4%
18.359.258	1	0.4%
15.947.112	1	0.4%
13.846.722	1	0.4%
Other values (240)	240	94.9%

Most occurring characters

Value	Count	Frequency (%)
.	503	20.4%
2	237	9.6%
6	230	9.3%
4	216	8.8%
3	215	8.7%
8	215	8.7%
7	204	8.3%
5	187	7.6%
1	185	7.5%
9	149	6.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1962	79.6%
Other Punctuation	503	20.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	237	12.1%
6	230	11.7%
4	216	11.0%
3	215	11.0%
8	215	11.0%
7	204	10.4%
5	187	9.5%
1	185	9.4%
9	149	7.6%
0	124	6.3%

Other Punctuation

Value	Count	Frequency (%)
.	503	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2465	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	503	20.4%
2	237	9.6%
6	230	9.3%
4	216	8.8%
3	215	8.7%
8	215	8.7%
7	204	8.3%
5	187	7.6%
1	185	7.5%
9	149	6.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2465	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	503	20.4%
2	237	9.6%
6	230	9.3%
4	216	8.8%
3	215	8.7%
8	215	8.7%
7	204	8.3%
5	187	7.6%
1	185	7.5%
9	149	6.0%

Precio_del_petroleo_WTI_dolaresbarril
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	334
Distinct (%)	73.7%
Missing	161
Missing (%)	26.2%
Infinite	0
Infinite (%)	0.0%
Mean	43.06613687

Minimum	11.3
Maximum	133.93
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.9 KiB

Quantile statistics

Minimum	11.3
5-th percentile	15
Q1	20.1
median	30.39
Q3	59.8
95-th percentile	100.374
Maximum	133.93
Range	122.63
Interquartile range (IQR)	39.7

Descriptive statistics

Standard deviation	28.01443686
Coefficient of variation (CV)	0.6504980223
Kurtosis	-0.07512315246
Mean	43.06613687
Median Absolute Deviation (MAD)	12.99
Skewness	0.9883169206
Sum	19508.96
Variance	784.8086724
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
19.9	6	1.0%
21.3	6	1.0%
18	6	1.0%
18.4	5	0.8%
19.7	5	0.8%
27.3	4	0.7%
19.6	4	0.7%
20.3	4	0.7%
20.1	4	0.7%
17.9	4	0.7%
Other values (324)	405	66.0%
(Missing)	161	26.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
11.3	1	0.2%
11.6	1	0.2%
12	1	0.2%
12.5	2	0.3%
12.9	1	0.2%
13	1	0.2%
13.4	1	0.2%
13.6	1	0.2%
13.7	1	0.2%
13.8	1	0.2%

Value	Count	Frequency (%)
133.93	1	0.2%
133.38	1	0.2%
125.37	1	0.2%
116.64	1	0.2%
112.62	1	0.2%
109.96	1	0.2%
106.55	1	0.2%
106.25	1	0.2%
106.15	1	0.2%
105.47	1	0.2%

Precio_del_propano_centavos_de_dolargalon_DTN
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	155
Distinct (%)	98.7%
Missing	457
Missing (%)	74.4%
Infinite	0
Infinite (%)	0.0%
Mean	88.52882166

Minimum	29.233
Maximum	187.875
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.9 KiB

Quantile statistics

Minimum	29.233
5-th percentile	40.2276
Q1	54.888
median	88.043
Q3	110.738
95-th percentile	152.7566
Maximum	187.875
Range	158.642
Interquartile range (IQR)	55.85

Descriptive statistics

Standard deviation	36.77245409
Coefficient of variation (CV)	0.4153726821
Kurtosis	-0.6012803362
Mean	88.52882166
Median Absolute Deviation (MAD)	30.043
Skewness	0.4733577569
Sum	13899.025
Variance	1352.21338
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
40.375	2	0.3%
97.452	2	0.3%
89.171	1	0.2%
128.5	1	0.2%
90.44	1	0.2%
94.863	1	0.2%
100.935	1	0.2%
107.368	1	0.2%
119.012	1	0.2%
131.868	1	0.2%
Other values (145)	145	23.6%
(Missing)	457	74.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
29.233	1	0.2%
32.56	1	0.2%
33.737	1	0.2%
37.429	1	0.2%
37.513	1	0.2%
38.824	1	0.2%
38.966	1	0.2%
39.638	1	0.2%
40.375	2	0.3%
41.182	1	0.2%

Value	Count	Frequency (%)
187.875	1	0.2%
180.816	1	0.2%
169.783	1	0.2%
164.197	1	0.2%
158.65	1	0.2%
155.78	1	0.2%
153.897	1	0.2%
152.807	1	0.2%
152.744	1	0.2%
152.095	1	0.2%

Tipo_de_cambio_del_dolar_observado_diario
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	460
Distinct (%)	99.6%
Missing	152
Missing (%)	24.8%
Memory size	4.9 KiB

656.250.909	2
713.703.333	2
408.531.818	1
422.41	1
420.03	1
Other values (455)	455

Length

Max length	11
Median length	11
Mean length	9.898268398
Min length	5

Characters and Unicode

Total characters	4573
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	458 ?
Unique (%)	99.1%

Sample

1st row	472.484
2nd row	472.137.273
3rd row	479.582.857
4th row	502.886
5th row	504.962.273

Common Values

Value	Count	Frequency (%)
656.250.909	2	0.3%
713.703.333	2	0.3%
408.531.818	1	0.2%
422.41	1	0.2%
420.03	1	0.2%
415.552.609	1	0.2%
411.844.444	1	0.2%
411.100.476	1	0.2%
410.723.043	1	0.2%
409.846.842	1	0.2%
Other values (450)	450	73.3%
(Missing)	152	24.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
656.250.909	2	0.4%
713.703.333	2	0.4%
472.484	1	0.2%
408.984.211	1	0.2%
420.03	1	0.2%
415.552.609	1	0.2%
411.844.444	1	0.2%
411.100.476	1	0.2%
410.723.043	1	0.2%
409.846.842	1	0.2%
Other values (450)	450	97.4%

Most occurring characters

Value	Count	Frequency (%)
.	842	18.4%
4	476	10.4%
5	467	10.2%
6	381	8.3%
2	377	8.2%
1	366	8.0%
7	358	7.8%
3	357	7.8%
8	340	7.4%
9	317	6.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3731	81.6%
Other Punctuation	842	18.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	476	12.8%
5	467	12.5%
6	381	10.2%
2	377	10.1%
1	366	9.8%
7	358	9.6%
3	357	9.6%
8	340	9.1%
9	317	8.5%
0	292	7.8%

Other Punctuation

Value	Count	Frequency (%)
.	842	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4573	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	842	18.4%
4	476	10.4%
5	467	10.2%
6	381	8.3%
2	377	8.2%
1	366	8.0%
7	358	7.8%
3	357	7.8%
8	340	7.4%
9	317	6.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4573	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	842	18.4%
4	476	10.4%
5	467	10.2%
6	381	8.3%
2	377	8.2%
1	366	8.0%
7	358	7.8%
3	357	7.8%
8	340	7.4%
9	317	6.9%

Ocupados
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	128
Distinct (%)	98.5%
Missing	484
Missing (%)	78.8%
Memory size	4.9 KiB

870.719.435	2
892.804.918	2
714.238.787	1
906.337.374	1
894.242.452	1
Other values (123)	123

Length

Max length	11
Median length	11
Mean length	10.86923077
Min length	9

Characters and Unicode

Total characters	1413
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	126 ?
Unique (%)	96.9%

Sample

1st row	799.068.585
2nd row	801.906.655
3rd row	801.826.939
4th row	800.424.589
5th row	798.681.519

Common Values

Value	Count	Frequency (%)
870.719.435	2	0.3%
892.804.918	2	0.3%
714.238.787	1	0.2%
906.337.374	1	0.2%
894.242.452	1	0.2%
823.593.079	1	0.2%
745.052.256	1	0.2%
799.068.585	1	0.2%
911.818.111	1	0.2%
719.220.979	1	0.2%
Other values (118)	118	19.2%
(Missing)	484	78.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
870.719.435	2	1.5%
892.804.918	2	1.5%
908.713.238	1	0.8%
718.190.289	1	0.8%
719.877.739	1	0.8%
715.621.158	1	0.8%
76.676.594	1	0.8%
736.505.525	1	0.8%
719.220.979	1	0.8%
707.319.252	1	0.8%
Other values (118)	118	90.8%

Most occurring characters

Value	Count	Frequency (%)
.	260	18.4%
8	178	12.6%
7	143	10.1%
9	135	9.6%
2	110	7.8%
5	106	7.5%
6	105	7.4%
1	105	7.4%
0	97	6.9%
3	88	6.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1153	81.6%
Other Punctuation	260	18.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
8	178	15.4%
7	143	12.4%
9	135	11.7%
2	110	9.5%
5	106	9.2%
6	105	9.1%
1	105	9.1%
0	97	8.4%
3	88	7.6%
4	86	7.5%

Other Punctuation

Value	Count	Frequency (%)
.	260	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1413	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	260	18.4%
8	178	12.6%
7	143	10.1%
9	135	9.6%
2	110	7.8%
5	106	7.5%
6	105	7.4%
1	105	7.4%
0	97	6.9%
3	88	6.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1413	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	260	18.4%
8	178	12.6%
7	143	10.1%
9	135	9.6%
2	110	7.8%
5	106	7.5%
6	105	7.4%
1	105	7.4%
0	97	6.9%
3	88	6.2%

Ocupacion_en_Agricultura_INE
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	92
Distinct (%)	97.9%
Missing	520
Missing (%)	84.7%
Memory size	4.9 KiB

641.968.676	2
640.428.548	2
798.092.771	1
789.470.825	1
649.560.005	1
Other values (87)	87

Length

Max length	11
Median length	11
Mean length	10.93617021
Min length	10

Characters and Unicode

Total characters	1028
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	90 ?
Unique (%)	95.7%

Sample

1st row	798.092.771
2nd row	748.761.346
3rd row	689.928.412
4th row	643.035.387
5th row	625.955.595

Common Values

Value	Count	Frequency (%)
641.968.676	2	0.3%
640.428.548	2	0.3%
798.092.771	1	0.2%
789.470.825	1	0.2%
649.560.005	1	0.2%
644.131.784	1	0.2%
632.553.569	1	0.2%
65.260.128	1	0.2%
699.308.629	1	0.2%
743.012.046	1	0.2%
Other values (82)	82	13.4%
(Missing)	520	84.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
641.968.676	2	2.1%
640.428.548	2	2.1%
798.092.771	1	1.1%
765.046.842	1	1.1%
644.131.784	1	1.1%
632.553.569	1	1.1%
65.260.128	1	1.1%
699.308.629	1	1.1%
743.012.046	1	1.1%
768.560.524	1	1.1%
Other values (82)	82	87.2%

Most occurring characters

Value	Count	Frequency (%)
.	188	18.3%
6	138	13.4%
7	101	9.8%
4	88	8.6%
8	82	8.0%
3	79	7.7%
5	77	7.5%
2	75	7.3%
9	70	6.8%
1	69	6.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	840	81.7%
Other Punctuation	188	18.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
6	138	16.4%
7	101	12.0%
4	88	10.5%
8	82	9.8%
3	79	9.4%
5	77	9.2%
2	75	8.9%
9	70	8.3%
1	69	8.2%
0	61	7.3%

Other Punctuation

Value	Count	Frequency (%)
.	188	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1028	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	188	18.3%
6	138	13.4%
7	101	9.8%
4	88	8.6%
8	82	8.0%
3	79	7.7%
5	77	7.5%
2	75	7.3%
9	70	6.8%
1	69	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1028	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	188	18.3%
6	138	13.4%
7	101	9.8%
4	88	8.6%
8	82	8.0%
3	79	7.7%
5	77	7.5%
2	75	7.3%
9	70	6.8%
1	69	6.7%

Ocupacion_en_Explotacion_de_minas_y_canteras_INE
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	93
Distinct (%)	97.9%
Missing	519
Missing (%)	84.5%
Memory size	4.9 KiB

216.799.913	2
234.861.489	2
219.223.881	1
210.662.242	1
208.597.411	1
Other values (88)	88

Length

Max length	11
Median length	11
Mean length	10.90526316
Min length	9

Characters and Unicode

Total characters	1036
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	95.8%

Sample

1st row	258.428.756
2nd row	25.564.008
3rd row	2.630.406
4th row	271.231.704
5th row	268.516.519

Common Values

Value	Count	Frequency (%)
216.799.913	2	0.3%
234.861.489	2	0.3%
219.223.881	1	0.2%
210.662.242	1	0.2%
208.597.411	1	0.2%
211.418.896	1	0.2%
220.244.596	1	0.2%
210.363.715	1	0.2%
217.509.303	1	0.2%
213.356.019	1	0.2%
Other values (83)	83	13.5%
(Missing)	519	84.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
216.799.913	2	2.1%
234.861.489	2	2.1%
258.428.756	1	1.1%
218.783.788	1	1.1%
208.597.411	1	1.1%
211.418.896	1	1.1%
220.244.596	1	1.1%
210.363.715	1	1.1%
217.509.303	1	1.1%
213.356.019	1	1.1%
Other values (83)	83	87.4%

Most occurring characters

Value	Count	Frequency (%)
.	190	18.3%
2	162	15.6%
1	100	9.7%
3	90	8.7%
4	83	8.0%
9	82	7.9%
6	75	7.2%
5	69	6.7%
0	69	6.7%
8	58	5.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	846	81.7%
Other Punctuation	190	18.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	162	19.1%
1	100	11.8%
3	90	10.6%
4	83	9.8%
9	82	9.7%
6	75	8.9%
5	69	8.2%
0	69	8.2%
8	58	6.9%
7	58	6.9%

Other Punctuation

Value	Count	Frequency (%)
.	190	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1036	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	190	18.3%
2	162	15.6%
1	100	9.7%
3	90	8.7%
4	83	8.0%
9	82	7.9%
6	75	7.2%
5	69	6.7%
0	69	6.7%
8	58	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1036	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	190	18.3%
2	162	15.6%
1	100	9.7%
3	90	8.7%
4	83	8.0%
9	82	7.9%
6	75	7.2%
5	69	6.7%
0	69	6.7%
8	58	5.6%

Ocupacion_en_Industrias_manufactureras_INE
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	92
Distinct (%)	97.9%
Missing	520
Missing (%)	84.7%
Memory size	4.9 KiB

918.492.209	2
856.467.155	2
901.504.814	1
937.816.508	1
911.755.074	1
Other values (87)	87

Length

Max length	11
Median length	11
Mean length	10.86170213
Min length	10

Characters and Unicode

Total characters	1021
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	90 ?
Unique (%)	95.7%

Sample

1st row	901.504.814
2nd row	872.935.008
3rd row	885.031.604
4th row	893.552.645
5th row	90.967.219

Common Values

Value	Count	Frequency (%)
918.492.209	2	0.3%
856.467.155	2	0.3%
901.504.814	1	0.2%
937.816.508	1	0.2%
911.755.074	1	0.2%
90.527.606	1	0.2%
907.772.306	1	0.2%
899.894.457	1	0.2%
891.840.959	1	0.2%
906.352.639	1	0.2%
Other values (82)	82	13.4%
(Missing)	520	84.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
918.492.209	2	2.1%
856.467.155	2	2.1%
901.504.814	1	1.1%
951.646.187	1	1.1%
90.527.606	1	1.1%
907.772.306	1	1.1%
899.894.457	1	1.1%
891.840.959	1	1.1%
906.352.639	1	1.1%
940.976.575	1	1.1%
Other values (82)	82	87.2%

Most occurring characters

Value	Count	Frequency (%)
.	188	18.4%
9	134	13.1%
8	98	9.6%
6	82	8.0%
5	80	7.8%
1	78	7.6%
0	77	7.5%
7	76	7.4%
4	73	7.1%
2	73	7.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	833	81.6%
Other Punctuation	188	18.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
9	134	16.1%
8	98	11.8%
6	82	9.8%
5	80	9.6%
1	78	9.4%
0	77	9.2%
7	76	9.1%
4	73	8.8%
2	73	8.8%
3	62	7.4%

Other Punctuation

Value	Count	Frequency (%)
.	188	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1021	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	188	18.4%
9	134	13.1%
8	98	9.6%
6	82	8.0%
5	80	7.8%
1	78	7.6%
0	77	7.5%
7	76	7.4%
4	73	7.1%
2	73	7.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1021	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	188	18.4%
9	134	13.1%
8	98	9.6%
6	82	8.0%
5	80	7.8%
1	78	7.6%
0	77	7.5%
7	76	7.4%
4	73	7.1%
2	73	7.1%

Ocupacion_en_Suministro_de_electricidad_INE
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	93
Distinct (%)	97.9%
Missing	519
Missing (%)	84.5%
Memory size	4.9 KiB

423.859.029	2
435.285.983	2
360.108.494	1
414.720.274	1
508.584.427	1
Other values (88)	88

Length

Max length	11
Median length	11
Mean length	10.85263158
Min length	1

Characters and Unicode

Total characters	1031
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	95.8%

Sample

1st row	360.108.494
2nd row	35.161.487
3rd row	370.478.187
4th row	393.545.812
5th row	422.440.362

Common Values

Value	Count	Frequency (%)
423.859.029	2	0.3%
435.285.983	2	0.3%
360.108.494	1	0.2%
414.720.274	1	0.2%
508.584.427	1	0.2%
490.698.141	1	0.2%
432.113.868	1	0.2%
410.312.073	1	0.2%
41.248.028	1	0.2%
408.245.397	1	0.2%
Other values (83)	83	13.5%
(Missing)	519	84.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
423.859.029	2	2.1%
435.285.983	2	2.1%
360.108.494	1	1.1%
414.720.274	1	1.1%
508.584.427	1	1.1%
490.698.141	1	1.1%
432.113.868	1	1.1%
410.312.073	1	1.1%
41.248.028	1	1.1%
408.245.397	1	1.1%
Other values (83)	83	87.4%

Most occurring characters

Value	Count	Frequency (%)
.	188	18.2%
4	139	13.5%
2	88	8.5%
3	86	8.3%
8	86	8.3%
7	84	8.1%
1	83	8.1%
5	79	7.7%
9	68	6.6%
0	66	6.4%
Other values (2)	64	6.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	842	81.7%
Other Punctuation	188	18.2%
Lowercase Letter	1	0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	139	16.5%
2	88	10.5%
3	86	10.2%
8	86	10.2%
7	84	10.0%
1	83	9.9%
5	79	9.4%
9	68	8.1%
0	66	7.8%
6	63	7.5%

Other Punctuation

Value	Count	Frequency (%)
.	188	100.0%

Lowercase Letter

Value	Count	Frequency (%)
a	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1030	99.9%
Latin	1	0.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	188	18.3%
4	139	13.5%
2	88	8.5%
3	86	8.3%
8	86	8.3%
7	84	8.2%
1	83	8.1%
5	79	7.7%
9	68	6.6%
0	66	6.4%

Latin

Value	Count	Frequency (%)
a	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1031	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	188	18.2%
4	139	13.5%
2	88	8.5%
3	86	8.3%
8	86	8.3%
7	84	8.1%
1	83	8.1%
5	79	7.7%
9	68	6.6%
0	66	6.4%
Other values (2)	64	6.2%

Ocupacion_en_Actividades_de_servicios_administrativos_y_de_apoyo_INE
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	92
Distinct (%)	97.9%
Missing	520
Missing (%)	84.7%
Memory size	4.9 KiB

216.848.578	2
241.649.229	2
18.951.548	1
222.760.281	1
223.181.376	1
Other values (87)	87

Length

Max length	11
Median length	11
Mean length	10.87234043
Min length	9

Characters and Unicode

Total characters	1022
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	90 ?
Unique (%)	95.7%

Sample

1st row	18.951.548
2nd row	189.184.206
3rd row	183.186.272
4th row	174.068.814
5th row	163.224.557

Common Values

Value	Count	Frequency (%)
216.848.578	2	0.3%
241.649.229	2	0.3%
18.951.548	1	0.2%
222.760.281	1	0.2%
223.181.376	1	0.2%
207.298.052	1	0.2%
217.437.555	1	0.2%
230.000.001	1	0.2%
226.011.897	1	0.2%
239.173.685	1	0.2%
Other values (82)	82	13.4%
(Missing)	520	84.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
216.848.578	2	2.1%
241.649.229	2	2.1%
18.951.548	1	1.1%
220.045.955	1	1.1%
207.298.052	1	1.1%
217.437.555	1	1.1%
230.000.001	1	1.1%
226.011.897	1	1.1%
239.173.685	1	1.1%
227.591.298	1	1.1%
Other values (82)	82	87.2%

Most occurring characters

Value	Count	Frequency (%)
.	188	18.4%
2	170	16.6%
1	97	9.5%
5	80	7.8%
3	74	7.2%
9	73	7.1%
0	72	7.0%
6	71	6.9%
8	67	6.6%
4	66	6.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	834	81.6%
Other Punctuation	188	18.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	170	20.4%
1	97	11.6%
5	80	9.6%
3	74	8.9%
9	73	8.8%
0	72	8.6%
6	71	8.5%
8	67	8.0%
4	66	7.9%
7	64	7.7%

Other Punctuation

Value	Count	Frequency (%)
.	188	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1022	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	188	18.4%
2	170	16.6%
1	97	9.5%
5	80	7.8%
3	74	7.2%
9	73	7.1%
0	72	7.0%
6	71	6.9%
8	67	6.6%
4	66	6.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1022	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	188	18.4%
2	170	16.6%
1	97	9.5%
5	80	7.8%
3	74	7.2%
9	73	7.1%
0	72	7.0%
6	71	6.9%
8	67	6.6%
4	66	6.5%

Ocupacion_en_Actividades_profesionales_INE
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	92
Distinct (%)	97.9%
Missing	520
Missing (%)	84.7%
Memory size	4.9 KiB

293.308	2
297.915.329	2
229.653.619	1
275.846.858	1
284.954.466	1
Other values (87)	87

Length

Max length	11
Median length	11
Mean length	10.84042553
Min length	7

Characters and Unicode

Total characters	1019
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	90 ?
Unique (%)	95.7%

Sample

1st row	229.653.619
2nd row	245.403.126
3rd row	259.778.478
4th row	256.673.756
5th row	249.403.461

Common Values

Value	Count	Frequency (%)
293.308	2	0.3%
297.915.329	2	0.3%
229.653.619	1	0.2%
275.846.858	1	0.2%
284.954.466	1	0.2%
286.084.628	1	0.2%
302.466.763	1	0.2%
328.535.579	1	0.2%
321.696.438	1	0.2%
310.377.907	1	0.2%
Other values (82)	82	13.4%
(Missing)	520	84.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
293.308	2	2.1%
297.915.329	2	2.1%
229.653.619	1	1.1%
285.480.664	1	1.1%
286.084.628	1	1.1%
302.466.763	1	1.1%
328.535.579	1	1.1%
321.696.438	1	1.1%
310.377.907	1	1.1%
283.740.041	1	1.1%
Other values (82)	82	87.2%

Most occurring characters

Value	Count	Frequency (%)
.	186	18.3%
2	150	14.7%
4	90	8.8%
5	85	8.3%
9	83	8.1%
7	79	7.8%
8	78	7.7%
6	75	7.4%
3	74	7.3%
0	63	6.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	833	81.7%
Other Punctuation	186	18.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	150	18.0%
4	90	10.8%
5	85	10.2%
9	83	10.0%
7	79	9.5%
8	78	9.4%
6	75	9.0%
3	74	8.9%
0	63	7.6%
1	56	6.7%

Other Punctuation

Value	Count	Frequency (%)
.	186	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1019	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	186	18.3%
2	150	14.7%
4	90	8.8%
5	85	8.3%
9	83	8.1%
7	79	7.8%
8	78	7.7%
6	75	7.4%
3	74	7.3%
0	63	6.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1019	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	186	18.3%
2	150	14.7%
4	90	8.8%
5	85	8.3%
9	83	8.1%
7	79	7.8%
8	78	7.7%
6	75	7.4%
3	74	7.3%
0	63	6.2%

Ocupacion_en_Actividades_inmobiliarias_INE
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	92
Distinct (%)	97.9%
Missing	520
Missing (%)	84.7%
Memory size	4.9 KiB

827.010.405	2
77.525.851	2
547.033.124	1
892.048.934	1
910.100.949	1
Other values (87)	87

Length

Max length	11
Median length	11
Mean length	10.88297872
Min length	9

Characters and Unicode

Total characters	1023
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	90 ?
Unique (%)	95.7%

Sample

1st row	547.033.124
2nd row	517.938.307
3rd row	523.538.906
4th row	541.516.672
5th row	685.736.504

Common Values

Value	Count	Frequency (%)
827.010.405	2	0.3%
77.525.851	2	0.3%
547.033.124	1	0.2%
892.048.934	1	0.2%
910.100.949	1	0.2%
87.052.166	1	0.2%
82.286.683	1	0.2%
896.024.061	1	0.2%
868.198.541	1	0.2%
918.908.452	1	0.2%
Other values (82)	82	13.4%
(Missing)	520	84.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
827.010.405	2	2.1%
77.525.851	2	2.1%
547.033.124	1	1.1%
83.818.952	1	1.1%
87.052.166	1	1.1%
82.286.683	1	1.1%
896.024.061	1	1.1%
868.198.541	1	1.1%
918.908.452	1	1.1%
867.298.803	1	1.1%
Other values (82)	82	87.2%

Most occurring characters

Value	Count	Frequency (%)
.	188	18.4%
8	110	10.8%
6	110	10.8%
7	90	8.8%
1	90	8.8%
2	78	7.6%
5	76	7.4%
9	73	7.1%
4	70	6.8%
3	70	6.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	835	81.6%
Other Punctuation	188	18.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
8	110	13.2%
6	110	13.2%
7	90	10.8%
1	90	10.8%
2	78	9.3%
5	76	9.1%
9	73	8.7%
4	70	8.4%
3	70	8.4%
0	68	8.1%

Other Punctuation

Value	Count	Frequency (%)
.	188	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1023	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	188	18.4%
8	110	10.8%
6	110	10.8%
7	90	8.8%
1	90	8.8%
2	78	7.6%
5	76	7.4%
9	73	7.1%
4	70	6.8%
3	70	6.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1023	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	188	18.4%
8	110	10.8%
6	110	10.8%
7	90	8.8%
1	90	8.8%
2	78	7.6%
5	76	7.4%
9	73	7.1%
4	70	6.8%
3	70	6.8%

Ocupacion_en_Actividades_financieras_y_de_seguros_INE
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	92
Distinct (%)	97.9%
Missing	520
Missing (%)	84.7%
Memory size	4.9 KiB

163.289.707	2
164.612.138	2
19.153.327	1
167.091.696	1
168.963.053	1
Other values (87)	87

Length

Max length	11
Median length	11
Mean length	10.89361702
Min length	9

Characters and Unicode

Total characters	1024
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	90 ?
Unique (%)	95.7%

Sample

1st row	19.153.327
2nd row	200.181.753
3rd row	204.803.422
4th row	19.556.226
5th row	190.390.057

Common Values

Value	Count	Frequency (%)
163.289.707	2	0.3%
164.612.138	2	0.3%
19.153.327	1	0.2%
167.091.696	1	0.2%
168.963.053	1	0.2%
170.005.161	1	0.2%
16.732.845	1	0.2%
166.967.549	1	0.2%
168.185.976	1	0.2%
170.808.767	1	0.2%
Other values (82)	82	13.4%
(Missing)	520	84.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
163.289.707	2	2.1%
164.612.138	2	2.1%
19.153.327	1	1.1%
165.629.394	1	1.1%
170.005.161	1	1.1%
16.732.845	1	1.1%
166.967.549	1	1.1%
168.185.976	1	1.1%
170.808.767	1	1.1%
170.455.257	1	1.1%
Other values (82)	82	87.2%

Most occurring characters

Value	Count	Frequency (%)
.	188	18.4%
1	163	15.9%
6	98	9.6%
9	90	8.8%
8	86	8.4%
7	79	7.7%
5	68	6.6%
2	67	6.5%
4	65	6.3%
3	62	6.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	836	81.6%
Other Punctuation	188	18.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	163	19.5%
6	98	11.7%
9	90	10.8%
8	86	10.3%
7	79	9.4%
5	68	8.1%
2	67	8.0%
4	65	7.8%
3	62	7.4%
0	58	6.9%

Other Punctuation

Value	Count	Frequency (%)
.	188	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1024	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	188	18.4%
1	163	15.9%
6	98	9.6%
9	90	8.8%
8	86	8.4%
7	79	7.7%
5	68	6.6%
2	67	6.5%
4	65	6.3%
3	62	6.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1024	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	188	18.4%
1	163	15.9%
6	98	9.6%
9	90	8.8%
8	86	8.4%
7	79	7.7%
5	68	6.6%
2	67	6.5%
4	65	6.3%
3	62	6.1%

Ocupacion_en_Informacion_y_comunicaciones_INE
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	93
Distinct (%)	97.9%
Missing	519
Missing (%)	84.5%
Memory size	4.9 KiB

166.817.299	2
162.758.745	2
155.736.824	1
173.156.226	1
174.390.267	1
Other values (88)	88

Length

Max length	11
Median length	11
Mean length	10.85263158
Min length	1

Characters and Unicode

Total characters	1031
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	95.8%

Sample

1st row	155.736.824
2nd row	163.543.996
3rd row	164.546.013
4th row	167.439.052
5th row	158.353.388

Common Values

Value	Count	Frequency (%)
166.817.299	2	0.3%
162.758.745	2	0.3%
155.736.824	1	0.2%
173.156.226	1	0.2%
174.390.267	1	0.2%
174.438.887	1	0.2%
178.360.955	1	0.2%
174.645.643	1	0.2%
174.752.874	1	0.2%
175.001.215	1	0.2%
Other values (83)	83	13.5%
(Missing)	519	84.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
166.817.299	2	2.1%
162.758.745	2	2.1%
155.736.824	1	1.1%
173.156.226	1	1.1%
174.390.267	1	1.1%
174.438.887	1	1.1%
178.360.955	1	1.1%
174.645.643	1	1.1%
174.752.874	1	1.1%
175.001.215	1	1.1%
Other values (83)	83	87.4%

Most occurring characters

Value	Count	Frequency (%)
.	188	18.2%
1	161	15.6%
4	91	8.8%
5	90	8.7%
6	89	8.6%
7	83	8.1%
8	80	7.8%
3	75	7.3%
9	59	5.7%
2	58	5.6%
Other values (2)	57	5.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	842	81.7%
Other Punctuation	188	18.2%
Lowercase Letter	1	0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	161	19.1%
4	91	10.8%
5	90	10.7%
6	89	10.6%
7	83	9.9%
8	80	9.5%
3	75	8.9%
9	59	7.0%
2	58	6.9%
0	56	6.7%

Other Punctuation

Value	Count	Frequency (%)
.	188	100.0%

Lowercase Letter

Value	Count	Frequency (%)
a	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1030	99.9%
Latin	1	0.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	188	18.3%
1	161	15.6%
4	91	8.8%
5	90	8.7%
6	89	8.6%
7	83	8.1%
8	80	7.8%
3	75	7.3%
9	59	5.7%
2	58	5.6%

Latin

Value	Count	Frequency (%)
a	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1031	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	188	18.2%
1	161	15.6%
4	91	8.8%
5	90	8.7%
6	89	8.6%
7	83	8.1%
8	80	7.8%
3	75	7.3%
9	59	5.7%
2	58	5.6%
Other values (2)	57	5.5%

Ocupacion_en_Transporte_y_almacenamiento_INE
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	92
Distinct (%)	97.9%
Missing	520
Missing (%)	84.7%
Memory size	4.9 KiB

589.477.133	2
560.102.952	2
498.854.717	1
579.225.627	1
581.970.142	1
Other values (87)	87

Length

Max length	11
Median length	11
Mean length	10.92553191
Min length	10

Characters and Unicode

Total characters	1027
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	90 ?
Unique (%)	95.7%

Sample

1st row	498.854.717
2nd row	50.361.222
3rd row	502.470.761
4th row	514.471.177
5th row	509.933.563

Common Values

Value	Count	Frequency (%)
589.477.133	2	0.3%
560.102.952	2	0.3%
498.854.717	1	0.2%
579.225.627	1	0.2%
581.970.142	1	0.2%
583.087.706	1	0.2%
58.300.483	1	0.2%
598.462.645	1	0.2%
598.383.125	1	0.2%
60.084.236	1	0.2%
Other values (82)	82	13.4%
(Missing)	520	84.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
589.477.133	2	2.1%
560.102.952	2	2.1%
498.854.717	1	1.1%
576.018.963	1	1.1%
583.087.706	1	1.1%
58.300.483	1	1.1%
598.462.645	1	1.1%
598.383.125	1	1.1%
60.084.236	1	1.1%
570.977.277	1	1.1%
Other values (82)	82	87.2%

Most occurring characters

Value	Count	Frequency (%)
.	188	18.3%
5	163	15.9%
3	86	8.4%
6	85	8.3%
4	82	8.0%
0	74	7.2%
1	72	7.0%
2	72	7.0%
9	70	6.8%
8	69	6.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	839	81.7%
Other Punctuation	188	18.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	163	19.4%
3	86	10.3%
6	85	10.1%
4	82	9.8%
0	74	8.8%
1	72	8.6%
2	72	8.6%
9	70	8.3%
8	69	8.2%
7	66	7.9%

Other Punctuation

Value	Count	Frequency (%)
.	188	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1027	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	188	18.3%
5	163	15.9%
3	86	8.4%
6	85	8.3%
4	82	8.0%
0	74	7.2%
1	72	7.0%
2	72	7.0%
9	70	6.8%
8	69	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1027	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	188	18.3%
5	163	15.9%
3	86	8.4%
6	85	8.3%
4	82	8.0%
0	74	7.2%
1	72	7.0%
2	72	7.0%
9	70	6.8%
8	69	6.7%

Ocupacion_en_Actividades_de_alojamiento_y_de_servicio_de_comidas_INE
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	92
Distinct (%)	97.9%
Missing	520
Missing (%)	84.7%
Memory size	4.9 KiB

452.211.964	2
452.651.215	2
341.857.582	1
434.921.372	1
44.545.486	1
Other values (87)	87

Length

Max length	11
Median length	11
Mean length	10.90425532
Min length	9

Characters and Unicode

Total characters	1025
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	90 ?
Unique (%)	95.7%

Sample

1st row	341.857.582
2nd row	31.736.525
3rd row	30.683.457
4th row	30.862.596
5th row	326.787.184

Common Values

Value	Count	Frequency (%)
452.211.964	2	0.3%
452.651.215	2	0.3%
341.857.582	1	0.2%
434.921.372	1	0.2%
44.545.486	1	0.2%
439.417.772	1	0.2%
451.829.759	1	0.2%
442.782.762	1	0.2%
43.162.467	1	0.2%
430.708.226	1	0.2%
Other values (82)	82	13.4%
(Missing)	520	84.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
452.211.964	2	2.1%
452.651.215	2	2.1%
341.857.582	1	1.1%
411.954.878	1	1.1%
439.417.772	1	1.1%
451.829.759	1	1.1%
442.782.762	1	1.1%
43.162.467	1	1.1%
430.708.226	1	1.1%
427.593.456	1	1.1%
Other values (82)	82	87.2%

Most occurring characters

Value	Count	Frequency (%)
.	188	18.3%
4	128	12.5%
3	125	12.2%
2	91	8.9%
9	85	8.3%
8	76	7.4%
7	76	7.4%
1	74	7.2%
5	73	7.1%
6	63	6.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	837	81.7%
Other Punctuation	188	18.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	128	15.3%
3	125	14.9%
2	91	10.9%
9	85	10.2%
8	76	9.1%
7	76	9.1%
1	74	8.8%
5	73	8.7%
6	63	7.5%
0	46	5.5%

Other Punctuation

Value	Count	Frequency (%)
.	188	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1025	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	188	18.3%
4	128	12.5%
3	125	12.2%
2	91	8.9%
9	85	8.3%
8	76	7.4%
7	76	7.4%
1	74	7.2%
5	73	7.1%
6	63	6.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1025	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	188	18.3%
4	128	12.5%
3	125	12.2%
2	91	8.9%
9	85	8.3%
8	76	7.4%
7	76	7.4%
1	74	7.2%
5	73	7.1%
6	63	6.1%

Ocupacion_en_Construccion_INE
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	92
Distinct (%)	97.9%
Missing	520
Missing (%)	84.7%
Memory size	4.9 KiB

742.884.096	2
759.290.823	2
682.423.108	1
727.274.907	1
746.324.937	1
Other values (87)	87

Length

Max length	11
Median length	11
Mean length	10.93617021
Min length	10

Characters and Unicode

Total characters	1028
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	90 ?
Unique (%)	95.7%

Sample

1st row	682.423.108
2nd row	714.330.143
3rd row	703.343.896
4th row	698.814.201
5th row	685.679.331

Common Values

Value	Count	Frequency (%)
742.884.096	2	0.3%
759.290.823	2	0.3%
682.423.108	1	0.2%
727.274.907	1	0.2%
746.324.937	1	0.2%
742.466.392	1	0.2%
750.460.335	1	0.2%
736.853.742	1	0.2%
726.067.675	1	0.2%
71.862.027	1	0.2%
Other values (82)	82	13.4%
(Missing)	520	84.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
742.884.096	2	2.1%
759.290.823	2	2.1%
682.423.108	1	1.1%
726.262.678	1	1.1%
742.466.392	1	1.1%
750.460.335	1	1.1%
736.853.742	1	1.1%
726.067.675	1	1.1%
71.862.027	1	1.1%
731.325.234	1	1.1%
Other values (82)	82	87.2%

Most occurring characters

Value	Count	Frequency (%)
.	188	18.3%
7	123	12.0%
3	95	9.2%
6	93	9.0%
2	85	8.3%
8	81	7.9%
5	80	7.8%
4	79	7.7%
0	70	6.8%
9	68	6.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	840	81.7%
Other Punctuation	188	18.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
7	123	14.6%
3	95	11.3%
6	93	11.1%
2	85	10.1%
8	81	9.6%
5	80	9.5%
4	79	9.4%
0	70	8.3%
9	68	8.1%
1	66	7.9%

Other Punctuation

Value	Count	Frequency (%)
.	188	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1028	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	188	18.3%
7	123	12.0%
3	95	9.2%
6	93	9.0%
2	85	8.3%
8	81	7.9%
5	80	7.8%
4	79	7.7%
0	70	6.8%
9	68	6.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1028	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	188	18.3%
7	123	12.0%
3	95	9.2%
6	93	9.0%
2	85	8.3%
8	81	7.9%
5	80	7.8%
4	79	7.7%
0	70	6.8%
9	68	6.6%

Ocupacion_en_Comercio_INE
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	92
Distinct (%)	97.9%
Missing	520
Missing (%)	84.7%
Memory size	4.9 KiB

164.123.096	2
172.267.313	2
151.916.628	1
165.359.717	1
167.513.809	1
Other values (87)	87

Length

Max length	11
Median length	11
Mean length	10.86170213
Min length	9

Characters and Unicode

Total characters	1021
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	90 ?
Unique (%)	95.7%

Sample

1st row	151.916.628
2nd row	155.050.122
3rd row	15.611.683
4th row	156.308.276
5th row	1.561.431

Common Values

Value	Count	Frequency (%)
164.123.096	2	0.3%
172.267.313	2	0.3%
151.916.628	1	0.2%
165.359.717	1	0.2%
167.513.809	1	0.2%
166.464.677	1	0.2%
161.971.094	1	0.2%
16.391.285	1	0.2%
164.961.376	1	0.2%
165.998.174	1	0.2%
Other values (82)	82	13.4%
(Missing)	520	84.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
164.123.096	2	2.1%
172.267.313	2	2.1%
151.916.628	1	1.1%
164.844.135	1	1.1%
166.464.677	1	1.1%
161.971.094	1	1.1%
16.391.285	1	1.1%
164.961.376	1	1.1%
165.998.174	1	1.1%
164.676.054	1	1.1%
Other values (82)	82	87.2%

Most occurring characters

Value	Count	Frequency (%)
.	188	18.4%
1	161	15.8%
6	123	12.0%
5	95	9.3%
7	77	7.5%
4	77	7.5%
2	67	6.6%
9	62	6.1%
3	61	6.0%
0	56	5.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	833	81.6%
Other Punctuation	188	18.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	161	19.3%
6	123	14.8%
5	95	11.4%
7	77	9.2%
4	77	9.2%
2	67	8.0%
9	62	7.4%
3	61	7.3%
0	56	6.7%
8	54	6.5%

Other Punctuation

Value	Count	Frequency (%)
.	188	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1021	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	188	18.4%
1	161	15.8%
6	123	12.0%
5	95	9.3%
7	77	7.5%
4	77	7.5%
2	67	6.6%
9	62	6.1%
3	61	6.0%
0	56	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1021	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	188	18.4%
1	161	15.8%
6	123	12.0%
5	95	9.3%
7	77	7.5%
4	77	7.5%
2	67	6.6%
9	62	6.1%
3	61	6.0%
0	56	5.5%

Ocupacion_en_Suministro_de_agua_evacuacion_de_aguas_residuales_INE
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	93
Distinct (%)	94.9%
Missing	516
Missing (%)	84.0%
Memory size	4.9 KiB

a	4
388.556.009	2
530.643.655	2
473.761.226	1
463.921.736	1
Other values (88)	88

Length

Max length	11
Median length	11
Mean length	10.45918367
Min length	1

Characters and Unicode

Total characters	1025
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	90 ?
Unique (%)	91.8%

Sample

1st row	349.444.258
2nd row	357.165.171
3rd row	387.134.632
4th row	398.815.137
5th row	397.905.417

Common Values

Value	Count	Frequency (%)
a	4	0.7%
388.556.009	2	0.3%
530.643.655	2	0.3%
473.761.226	1	0.2%
463.921.736	1	0.2%
434.576.027	1	0.2%
439.632.732	1	0.2%
479.933.786	1	0.2%
499.989.593	1	0.2%
452.125.927	1	0.2%
Other values (83)	83	13.5%
(Missing)	516	84.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
a	4	4.1%
388.556.009	2	2.0%
530.643.655	2	2.0%
473.761.226	1	1.0%
463.921.736	1	1.0%
434.576.027	1	1.0%
439.632.732	1	1.0%
479.933.786	1	1.0%
499.989.593	1	1.0%
452.125.927	1	1.0%
Other values (83)	83	84.7%

Most occurring characters

Value	Count	Frequency (%)
.	188	18.3%
4	129	12.6%
5	100	9.8%
3	91	8.9%
6	82	8.0%
9	78	7.6%
8	78	7.6%
1	77	7.5%
2	71	6.9%
7	69	6.7%
Other values (2)	62	6.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	833	81.3%
Other Punctuation	188	18.3%
Lowercase Letter	4	0.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	129	15.5%
5	100	12.0%
3	91	10.9%
6	82	9.8%
9	78	9.4%
8	78	9.4%
1	77	9.2%
2	71	8.5%
7	69	8.3%
0	58	7.0%

Other Punctuation

Value	Count	Frequency (%)
.	188	100.0%

Lowercase Letter

Value	Count	Frequency (%)
a	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1021	99.6%
Latin	4	0.4%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	188	18.4%
4	129	12.6%
5	100	9.8%
3	91	8.9%
6	82	8.0%
9	78	7.6%
8	78	7.6%
1	77	7.5%
2	71	7.0%
7	69	6.8%

Latin

Value	Count	Frequency (%)
a	4	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1025	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	188	18.3%
4	129	12.6%
5	100	9.8%
3	91	8.9%
6	82	8.0%
9	78	7.6%
8	78	7.6%
1	77	7.5%
2	71	6.9%
7	69	6.7%
Other values (2)	62	6.0%

Ocupacion_en_Administracion_publica_y_defensa_INE
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	92
Distinct (%)	97.9%
Missing	520
Missing (%)	84.7%
Memory size	4.9 KiB

470.714.131	2
532.961.264	2
445.435.266	1
477.529.617	1
474.563.055	1
Other values (87)	87

Length

Max length	11
Median length	11
Mean length	10.88297872
Min length	9

Characters and Unicode

Total characters	1023
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	90 ?
Unique (%)	95.7%

Sample

1st row	445.435.266
2nd row	437.306.264
3rd row	429.622.301
4th row	429.793.264
5th row	421.899.254

Common Values

Value	Count	Frequency (%)
470.714.131	2	0.3%
532.961.264	2	0.3%
445.435.266	1	0.2%
477.529.617	1	0.2%
474.563.055	1	0.2%
469.686.241	1	0.2%
472.066.524	1	0.2%
477.927.853	1	0.2%
464.621.861	1	0.2%
464.994.931	1	0.2%
Other values (82)	82	13.4%
(Missing)	520	84.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
470.714.131	2	2.1%
532.961.264	2	2.1%
445.435.266	1	1.1%
475.807.707	1	1.1%
469.686.241	1	1.1%
472.066.524	1	1.1%
477.927.853	1	1.1%
464.621.861	1	1.1%
464.994.931	1	1.1%
465.511.645	1	1.1%
Other values (82)	82	87.2%

Most occurring characters

Value	Count	Frequency (%)
.	188	18.4%
4	152	14.9%
7	95	9.3%
3	85	8.3%
1	83	8.1%
6	80	7.8%
2	79	7.7%
5	77	7.5%
9	64	6.3%
8	64	6.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	835	81.6%
Other Punctuation	188	18.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	152	18.2%
7	95	11.4%
3	85	10.2%
1	83	9.9%
6	80	9.6%
2	79	9.5%
5	77	9.2%
9	64	7.7%
8	64	7.7%
0	56	6.7%

Other Punctuation

Value	Count	Frequency (%)
.	188	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1023	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	188	18.4%
4	152	14.9%
7	95	9.3%
3	85	8.3%
1	83	8.1%
6	80	7.8%
2	79	7.7%
5	77	7.5%
9	64	6.3%
8	64	6.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1023	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	188	18.4%
4	152	14.9%
7	95	9.3%
3	85	8.3%
1	83	8.1%
6	80	7.8%
2	79	7.7%
5	77	7.5%
9	64	6.3%
8	64	6.3%

Ocupacion_en_Enseanza_INE
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	92
Distinct (%)	97.9%
Missing	520
Missing (%)	84.7%
Memory size	4.9 KiB

788.049.995	2
819.048.173	2
587.837.412	1
722.388.056	1
795.391.784	1
Other values (87)	87

Length

Max length	11
Median length	11
Mean length	10.81914894
Min length	7

Characters and Unicode

Total characters	1017
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	90 ?
Unique (%)	95.7%

Sample

1st row	587.837.412
2nd row	609.994.331
3rd row	63.826.243
4th row	648.435.359
5th row	675.429.113

Common Values

Value	Count	Frequency (%)
788.049.995	2	0.3%
819.048.173	2	0.3%
587.837.412	1	0.2%
722.388.056	1	0.2%
795.391.784	1	0.2%
795.781.147	1	0.2%
79.802.002	1	0.2%
78.555.333	1	0.2%
786.941.777	1	0.2%
754.094.373	1	0.2%
Other values (82)	82	13.4%
(Missing)	520	84.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
788.049.995	2	2.1%
819.048.173	2	2.1%
587.837.412	1	1.1%
757.444.317	1	1.1%
795.781.147	1	1.1%
79.802.002	1	1.1%
78.555.333	1	1.1%
786.941.777	1	1.1%
754.094.373	1	1.1%
723.745.029	1	1.1%
Other values (82)	82	87.2%

Most occurring characters

Value	Count	Frequency (%)
.	187	18.4%
7	133	13.1%
6	89	8.8%
8	86	8.5%
3	86	8.5%
5	81	8.0%
9	79	7.8%
2	73	7.2%
4	71	7.0%
1	71	7.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	830	81.6%
Other Punctuation	187	18.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
7	133	16.0%
6	89	10.7%
8	86	10.4%
3	86	10.4%
5	81	9.8%
9	79	9.5%
2	73	8.8%
4	71	8.6%
1	71	8.6%
0	61	7.3%

Other Punctuation

Value	Count	Frequency (%)
.	187	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1017	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	187	18.4%
7	133	13.1%
6	89	8.8%
8	86	8.5%
3	86	8.5%
5	81	8.0%
9	79	7.8%
2	73	7.2%
4	71	7.0%
1	71	7.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1017	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	187	18.4%
7	133	13.1%
6	89	8.8%
8	86	8.5%
3	86	8.5%
5	81	8.0%
9	79	7.8%
2	73	7.2%
4	71	7.0%
1	71	7.0%

Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	92
Distinct (%)	97.9%
Missing	520
Missing (%)	84.7%
Memory size	4.9 KiB

489.831.763	2
556.868.981	2
362.517.856	1
474.214.524	1
506.459.846	1
Other values (87)	87

Length

Max length	11
Median length	11
Mean length	10.91489362
Min length	10

Characters and Unicode

Total characters	1026
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	90 ?
Unique (%)	95.7%

Sample

1st row	362.517.856
2nd row	36.143.856
3rd row	364.909.451
4th row	364.323.921
5th row	367.557.412

Common Values

Value	Count	Frequency (%)
489.831.763	2	0.3%
556.868.981	2	0.3%
362.517.856	1	0.2%
474.214.524	1	0.2%
506.459.846	1	0.2%
497.017.152	1	0.2%
498.126.942	1	0.2%
49.499.655	1	0.2%
497.101.338	1	0.2%
478.731.202	1	0.2%
Other values (82)	82	13.4%
(Missing)	520	84.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
489.831.763	2	2.1%
556.868.981	2	2.1%
362.517.856	1	1.1%
46.791.675	1	1.1%
497.017.152	1	1.1%
498.126.942	1	1.1%
49.499.655	1	1.1%
497.101.338	1	1.1%
478.731.202	1	1.1%
474.845.355	1	1.1%
Other values (82)	82	87.2%

Most occurring characters

Value	Count	Frequency (%)
.	188	18.3%
4	141	13.7%
5	99	9.6%
6	88	8.6%
1	88	8.6%
3	86	8.4%
2	86	8.4%
9	75	7.3%
7	68	6.6%
8	64	6.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	838	81.7%
Other Punctuation	188	18.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	141	16.8%
5	99	11.8%
6	88	10.5%
1	88	10.5%
3	86	10.3%
2	86	10.3%
9	75	8.9%
7	68	8.1%
8	64	7.6%
0	43	5.1%

Other Punctuation

Value	Count	Frequency (%)
.	188	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1026	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	188	18.3%
4	141	13.7%
5	99	9.6%
6	88	8.6%
1	88	8.6%
3	86	8.4%
2	86	8.4%
9	75	7.3%
7	68	6.6%
8	64	6.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1026	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	188	18.3%
4	141	13.7%
5	99	9.6%
6	88	8.6%
1	88	8.6%
3	86	8.4%
2	86	8.4%
9	75	7.3%
7	68	6.6%
8	64	6.2%

Ocupacion_en_Actividades_artisticas_INE
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	92
Distinct (%)	97.9%
Missing	520
Missing (%)	84.7%
Memory size	4.9 KiB

113.514.038	2
128.238.355	2
82.567.788	1
104.829.994	1
108.947.877	1
Other values (87)	87

Length

Max length	11
Median length	11
Mean length	10.92553191
Min length	10

Characters and Unicode

Total characters	1027
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	90 ?
Unique (%)	95.7%

Sample

1st row	82.567.788
2nd row	897.101.326
3rd row	928.991.289
4th row	922.830.791
5th row	961.558.663

Common Values

Value	Count	Frequency (%)
113.514.038	2	0.3%
128.238.355	2	0.3%
82.567.788	1	0.2%
104.829.994	1	0.2%
108.947.877	1	0.2%
11.100.961	1	0.2%
109.305.591	1	0.2%
113.304.127	1	0.2%
106.837.726	1	0.2%
104.996.965	1	0.2%
Other values (82)	82	13.4%
(Missing)	520	84.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
113.514.038	2	2.1%
128.238.355	2	2.1%
82.567.788	1	1.1%
110.497.412	1	1.1%
11.100.961	1	1.1%
109.305.591	1	1.1%
113.304.127	1	1.1%
106.837.726	1	1.1%
104.996.965	1	1.1%
104.908.748	1	1.1%
Other values (82)	82	87.2%

Most occurring characters

Value	Count	Frequency (%)
.	188	18.3%
1	162	15.8%
0	90	8.8%
8	81	7.9%
9	80	7.8%
6	74	7.2%
4	74	7.2%
5	71	6.9%
2	70	6.8%
3	69	6.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	839	81.7%
Other Punctuation	188	18.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	162	19.3%
0	90	10.7%
8	81	9.7%
9	80	9.5%
6	74	8.8%
4	74	8.8%
5	71	8.5%
2	70	8.3%
3	69	8.2%
7	68	8.1%

Other Punctuation

Value	Count	Frequency (%)
.	188	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1027	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	188	18.3%
1	162	15.8%
0	90	8.8%
8	81	7.9%
9	80	7.8%
6	74	7.2%
4	74	7.2%
5	71	6.9%
2	70	6.8%
3	69	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1027	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	188	18.3%
1	162	15.8%
0	90	8.8%
8	81	7.9%
9	80	7.8%
6	74	7.2%
4	74	7.2%
5	71	6.9%
2	70	6.8%
3	69	6.7%

Ocupacion_en_Otras_actividades_de_servicios_INE
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	93
Distinct (%)	97.9%
Missing	519
Missing (%)	84.5%
Memory size	4.9 KiB

27.638.401	2
268.749.784	2
201.875.908	1
281.417.768	1
28.045.038	1
Other values (88)	88

Length

Max length	11
Median length	11
Mean length	10.78947368
Min length	1

Characters and Unicode

Total characters	1025
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	95.8%

Sample

1st row	201.875.908
2nd row	202.053.864
3rd row	200.806.454
4th row	201.437.383
5th row	187.860.463

Common Values

Value	Count	Frequency (%)
27.638.401	2	0.3%
268.749.784	2	0.3%
201.875.908	1	0.2%
281.417.768	1	0.2%
28.045.038	1	0.2%
28.083.575	1	0.2%
274.780.405	1	0.2%
268.493.073	1	0.2%
271.011.348	1	0.2%
276.573.394	1	0.2%
Other values (83)	83	13.5%
(Missing)	519	84.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
27.638.401	2	2.1%
268.749.784	2	2.1%
201.875.908	1	1.1%
281.417.768	1	1.1%
28.045.038	1	1.1%
28.083.575	1	1.1%
274.780.405	1	1.1%
268.493.073	1	1.1%
271.011.348	1	1.1%
276.573.394	1	1.1%
Other values (83)	83	87.4%

Most occurring characters

Value	Count	Frequency (%)
.	188	18.3%
2	154	15.0%
8	92	9.0%
7	89	8.7%
4	81	7.9%
1	80	7.8%
3	79	7.7%
9	69	6.7%
0	67	6.5%
5	65	6.3%
Other values (2)	61	6.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	836	81.6%
Other Punctuation	188	18.3%
Lowercase Letter	1	0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	154	18.4%
8	92	11.0%
7	89	10.6%
4	81	9.7%
1	80	9.6%
3	79	9.4%
9	69	8.3%
0	67	8.0%
5	65	7.8%
6	60	7.2%

Other Punctuation

Value	Count	Frequency (%)
.	188	100.0%

Lowercase Letter

Value	Count	Frequency (%)
a	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1024	99.9%
Latin	1	0.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	188	18.4%
2	154	15.0%
8	92	9.0%
7	89	8.7%
4	81	7.9%
1	80	7.8%
3	79	7.7%
9	69	6.7%
0	67	6.5%
5	65	6.3%

Latin

Value	Count	Frequency (%)
a	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1025	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	188	18.3%
2	154	15.0%
8	92	9.0%
7	89	8.7%
4	81	7.9%
1	80	7.8%
3	79	7.7%
9	69	6.7%
0	67	6.5%
5	65	6.3%
Other values (2)	61	6.0%

Ocupacion_en_Actividades_de_los_hogares_como_empleadores_INE
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	92
Distinct (%)	97.9%
Missing	520
Missing (%)	84.7%
Memory size	4.9 KiB

359.984.869	2
353.145.094	2
416.124.956	1
365.109.655	1
348.802.659	1
Other values (87)	87

Length

Max length	11
Median length	11
Mean length	10.90425532
Min length	9

Characters and Unicode

Total characters	1025
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	90 ?
Unique (%)	95.7%

Sample

1st row	416.124.956
2nd row	433.420.434
3rd row	438.571.154
4th row	447.361.174
5th row	436.743.687

Common Values

Value	Count	Frequency (%)
359.984.869	2	0.3%
353.145.094	2	0.3%
416.124.956	1	0.2%
365.109.655	1	0.2%
348.802.659	1	0.2%
348.065.701	1	0.2%
354.013.534	1	0.2%
35.369.438	1	0.2%
354.783.594	1	0.2%
353.506.839	1	0.2%
Other values (82)	82	13.4%
(Missing)	520	84.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
359.984.869	2	2.1%
353.145.094	2	2.1%
416.124.956	1	1.1%
380.179.769	1	1.1%
348.065.701	1	1.1%
354.013.534	1	1.1%
35.369.438	1	1.1%
354.783.594	1	1.1%
353.506.839	1	1.1%
3.661.411	1	1.1%
Other values (82)	82	87.2%

Most occurring characters

Value	Count	Frequency (%)
.	188	18.3%
3	163	15.9%
5	102	10.0%
4	90	8.8%
1	77	7.5%
2	75	7.3%
8	70	6.8%
7	70	6.8%
6	69	6.7%
9	68	6.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	837	81.7%
Other Punctuation	188	18.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	163	19.5%
5	102	12.2%
4	90	10.8%
1	77	9.2%
2	75	9.0%
8	70	8.4%
7	70	8.4%
6	69	8.2%
9	68	8.1%
0	53	6.3%

Other Punctuation

Value	Count	Frequency (%)
.	188	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1025	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	188	18.3%
3	163	15.9%
5	102	10.0%
4	90	8.8%
1	77	7.5%
2	75	7.3%
8	70	6.8%
7	70	6.8%
6	69	6.7%
9	68	6.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1025	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	188	18.3%
3	163	15.9%
5	102	10.0%
4	90	8.8%
1	77	7.5%
2	75	7.3%
8	70	6.8%
7	70	6.8%
6	69	6.7%
9	68	6.6%

Ocupacion_en_Actividades_de_organizaciones_y_organos_extraterritoriales_INE
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	89
Distinct (%)	94.7%
Missing	520
Missing (%)	84.7%
Memory size	4.9 KiB

0	4
144.446.086	2
150.795.138	2
179.325.544	1
271.656.492	1
Other values (84)	84

Length

Max length	11
Median length	11
Mean length	10.34042553
Min length	1

Characters and Unicode

Total characters	972
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	86 ?
Unique (%)	91.5%

Sample

1st row	190.085.519
2nd row	101.278.125
3rd row	95.097.066
4th row	66.623.637
5th row	121.432.645

Common Values

Value	Count	Frequency (%)
0	4	0.7%
144.446.086	2	0.3%
150.795.138	2	0.3%
179.325.544	1	0.2%
271.656.492	1	0.2%
22.914.269	1	0.2%
202.318.183	1	0.2%
231.795.656	1	0.2%
359.181.985	1	0.2%
490.828.533	1	0.2%
Other values (79)	79	12.9%
(Missing)	520	84.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
0	4	4.3%
144.446.086	2	2.1%
150.795.138	2	2.1%
179.325.544	1	1.1%
271.656.492	1	1.1%
22.914.269	1	1.1%
202.318.183	1	1.1%
231.795.656	1	1.1%
359.181.985	1	1.1%
490.828.533	1	1.1%
Other values (79)	79	84.0%

Most occurring characters

Value	Count	Frequency (%)
.	179	18.4%
1	106	10.9%
2	92	9.5%
3	92	9.5%
5	81	8.3%
6	81	8.3%
4	80	8.2%
0	68	7.0%
8	67	6.9%
9	66	6.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	793	81.6%
Other Punctuation	179	18.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	106	13.4%
2	92	11.6%
3	92	11.6%
5	81	10.2%
6	81	10.2%
4	80	10.1%
0	68	8.6%
8	67	8.4%
9	66	8.3%
7	60	7.6%

Other Punctuation

Value	Count	Frequency (%)
.	179	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	972	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	179	18.4%
1	106	10.9%
2	92	9.5%
3	92	9.5%
5	81	8.3%
6	81	8.3%
4	80	8.2%
0	68	7.0%
8	67	6.9%
9	66	6.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	972	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	179	18.4%
1	106	10.9%
2	92	9.5%
3	92	9.5%
5	81	8.3%
6	81	8.3%
4	80	8.2%
0	68	7.0%
8	67	6.9%
9	66	6.8%

No_sabe__No_responde_Miles_de_personas
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	10
Distinct (%)	100.0%
Missing	604
Missing (%)	98.4%
Memory size	4.9 KiB

348.150.992	1
576.118.269	1
586.175.509	1
273.067.521	1
611.221.631	1
Other values (5)	5

Length

Max length	11
Median length	11
Mean length	10.9
Min length	10

Characters and Unicode

Total characters	109
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	100.0%

Sample

1st row	348.150.992
2nd row	576.118.269
3rd row	586.175.509
4th row	273.067.521
5th row	611.221.631

Common Values

Value	Count	Frequency (%)
348.150.992	1	0.2%
576.118.269	1	0.2%
586.175.509	1	0.2%
273.067.521	1	0.2%
611.221.631	1	0.2%
979.885.463	1	0.2%
210.013.123	1	0.2%
250.863.133	1	0.2%
292.671.194	1	0.2%
26.169.553	1	0.2%
(Missing)	604	98.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
348.150.992	1	10.0%
576.118.269	1	10.0%
586.175.509	1	10.0%
273.067.521	1	10.0%
611.221.631	1	10.0%
979.885.463	1	10.0%
210.013.123	1	10.0%
250.863.133	1	10.0%
292.671.194	1	10.0%
26.169.553	1	10.0%

Most occurring characters

Value	Count	Frequency (%)
.	20	18.3%
1	16	14.7%
2	12	11.0%
6	11	10.1%
3	10	9.2%
5	10	9.2%
9	9	8.3%
8	6	5.5%
0	6	5.5%
7	6	5.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	89	81.7%
Other Punctuation	20	18.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	16	18.0%
2	12	13.5%
6	11	12.4%
3	10	11.2%
5	10	11.2%
9	9	10.1%
8	6	6.7%
0	6	6.7%
7	6	6.7%
4	3	3.4%

Other Punctuation

Value	Count	Frequency (%)
.	20	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	109	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	20	18.3%
1	16	14.7%
2	12	11.0%
6	11	10.1%
3	10	9.2%
5	10	9.2%
9	9	8.3%
8	6	5.5%
0	6	5.5%
7	6	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	109	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	20	18.3%
1	16	14.7%
2	12	11.0%
6	11	10.1%
3	10	9.2%
5	10	9.2%
9	9	8.3%
8	6	5.5%
0	6	5.5%
7	6	5.5%

Tipo_de_cambio_nominal_multilateral___TCM
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	311
Distinct (%)	99.4%
Missing	301
Missing (%)	49.0%
Memory size	4.9 KiB

106.596.667	2
102.822.273	2
93.621	1
108.346.818	1
116.714.286	1
Other values (306)	306

Length

Max length	11
Median length	11
Mean length	9.910543131
Min length	5

Characters and Unicode

Total characters	3102
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	309 ?
Unique (%)	98.7%

Sample

1st row	93.621
2nd row	934.109.091
3rd row	944.752.381
4th row	985.085
5th row	982.236.364

Common Values

Value	Count	Frequency (%)
106.596.667	2	0.3%
102.822.273	2	0.3%
93.621	1	0.2%
108.346.818	1	0.2%
116.714.286	1	0.2%
115.98	1	0.2%
116.606.667	1	0.2%
114.507.727	1	0.2%
113.665.238	1	0.2%
111.095	1	0.2%
Other values (301)	301	49.0%
(Missing)	301	49.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
106.596.667	2	0.6%
102.822.273	2	0.6%
93.621	1	0.3%
108.346.818	1	0.3%
116.714.286	1	0.3%
115.98	1	0.3%
116.606.667	1	0.3%
114.507.727	1	0.3%
113.665.238	1	0.3%
111.095	1	0.3%
Other values (301)	301	96.2%

Most occurring characters

Value	Count	Frequency (%)
.	571	18.4%
1	549	17.7%
0	314	10.1%
5	258	8.3%
2	228	7.4%
9	215	6.9%
3	211	6.8%
4	206	6.6%
7	186	6.0%
6	185	6.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2531	81.6%
Other Punctuation	571	18.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	549	21.7%
0	314	12.4%
5	258	10.2%
2	228	9.0%
9	215	8.5%
3	211	8.3%
4	206	8.1%
7	186	7.3%
6	185	7.3%
8	179	7.1%

Other Punctuation

Value	Count	Frequency (%)
.	571	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3102	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	571	18.4%
1	549	17.7%
0	314	10.1%
5	258	8.3%
2	228	7.4%
9	215	6.9%
3	211	6.8%
4	206	6.6%
7	186	6.0%
6	185	6.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3102	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	571	18.4%
1	549	17.7%
0	314	10.1%
5	258	8.3%
2	228	7.4%
9	215	6.9%
3	211	6.8%
4	206	6.6%
7	186	6.0%
6	185	6.0%

Indice_de_tipo_de_cambio_real___TCR_promedio_1986_100
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	418
Distinct (%)	99.5%
Missing	194
Missing (%)	31.6%
Memory size	4.9 KiB

948.715.254	2
911.086.301	2
865.903.468	1
786.646.412	1
780.277.622	1
Other values (413)	413

Length

Max length	11
Median length	11
Mean length	10.87619048
Min length	9

Characters and Unicode

Total characters	4568
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	416 ?
Unique (%)	99.0%

Sample

1st row	865.903.468
2nd row	867.806.065
3rd row	878.030.947
4th row	913.180.348
5th row	909.263.447

Common Values

Value	Count	Frequency (%)
948.715.254	2	0.3%
911.086.301	2	0.3%
865.903.468	1	0.2%
786.646.412	1	0.2%
780.277.622	1	0.2%
769.702.641	1	0.2%
76.622.708	1	0.2%
752.652.313	1	0.2%
76.068.698	1	0.2%
765.344.705	1	0.2%
Other values (408)	408	66.4%
(Missing)	194	31.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
948.715.254	2	0.5%
911.086.301	2	0.5%
865.903.468	1	0.2%
784.551.268	1	0.2%
769.702.641	1	0.2%
76.622.708	1	0.2%
752.652.313	1	0.2%
76.068.698	1	0.2%
765.344.705	1	0.2%
77.758.994	1	0.2%
Other values (408)	408	97.1%

Most occurring characters

Value	Count	Frequency (%)
.	840	18.4%
1	477	10.4%
9	476	10.4%
8	411	9.0%
0	376	8.2%
7	367	8.0%
2	339	7.4%
3	333	7.3%
6	324	7.1%
4	317	6.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3728	81.6%
Other Punctuation	840	18.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	477	12.8%
9	476	12.8%
8	411	11.0%
0	376	10.1%
7	367	9.8%
2	339	9.1%
3	333	8.9%
6	324	8.7%
4	317	8.5%
5	308	8.3%

Other Punctuation

Value	Count	Frequency (%)
.	840	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4568	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	840	18.4%
1	477	10.4%
9	476	10.4%
8	411	9.0%
0	376	8.2%
7	367	8.0%
2	339	7.4%
3	333	7.3%
6	324	7.1%
4	317	6.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4568	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	840	18.4%
1	477	10.4%
9	476	10.4%
8	411	9.0%
0	376	8.2%
7	367	8.0%
2	339	7.4%
3	333	7.3%
6	324	7.1%
4	317	6.9%

Indice_de_produccion_industrial
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	142
Distinct (%)	98.6%
Missing	470
Missing (%)	76.5%
Memory size	4.9 KiB

104.034.103	2
102.691.109	2
102.761.705	1
877.709.354	1
862.848.016	1
Other values (137)	137

Length

Max length	11
Median length	11
Mean length	10.95138889
Min length	10

Characters and Unicode

Total characters	1577
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	140 ?
Unique (%)	97.2%

Sample

1st row	102.761.705
2nd row	968.087.179
3rd row	978.471.874
4th row	966.647.135
5th row	100.100.749

Common Values

Value	Count	Frequency (%)
104.034.103	2	0.3%
102.691.109	2	0.3%
102.761.705	1	0.2%
877.709.354	1	0.2%
862.848.016	1	0.2%
796.396.317	1	0.2%
898.551.029	1	0.2%
853.936.095	1	0.2%
863.880.632	1	0.2%
884.201.942	1	0.2%
Other values (132)	132	21.5%
(Missing)	470	76.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
104.034.103	2	1.4%
102.691.109	2	1.4%
102.761.705	1	0.7%
843.373.804	1	0.7%
862.848.016	1	0.7%
796.396.317	1	0.7%
898.551.029	1	0.7%
853.936.095	1	0.7%
863.880.632	1	0.7%
877.709.354	1	0.7%
Other values (132)	132	91.7%

Most occurring characters

Value	Count	Frequency (%)
.	288	18.3%
9	179	11.4%
1	175	11.1%
0	146	9.3%
8	125	7.9%
2	119	7.5%
6	115	7.3%
3	113	7.2%
5	108	6.8%
4	107	6.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1289	81.7%
Other Punctuation	288	18.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
9	179	13.9%
1	175	13.6%
0	146	11.3%
8	125	9.7%
2	119	9.2%
6	115	8.9%
3	113	8.8%
5	108	8.4%
4	107	8.3%
7	102	7.9%

Other Punctuation

Value	Count	Frequency (%)
.	288	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1577	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	288	18.3%
9	179	11.4%
1	175	11.1%
0	146	9.3%
8	125	7.9%
2	119	7.5%
6	115	7.3%
3	113	7.2%
5	108	6.8%
4	107	6.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1577	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	288	18.3%
9	179	11.4%
1	175	11.1%
0	146	9.3%
8	125	7.9%
2	119	7.5%
6	115	7.3%
3	113	7.2%
5	108	6.8%
4	107	6.8%

Indice_de_produccion_industrial__mineria
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	355
Distinct (%)	95.4%
Missing	242
Missing (%)	39.4%
Memory size	4.9 KiB

337.440.681	2
41.963.777	2
470.933.698	2
927.108.978	2
326.934.286	2
Other values (350)	362

Length

Max length	11
Median length	11
Mean length	10.89516129
Min length	7

Characters and Unicode

Total characters	4053
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	338 ?
Unique (%)	90.9%

Sample

1st row	98.915.705
2nd row	914.276.663
3rd row	966.913.278
4th row	981.820.974
5th row	990.198.382

Common Values

Value	Count	Frequency (%)
337.440.681	2	0.3%
41.963.777	2	0.3%
470.933.698	2	0.3%
927.108.978	2	0.3%
326.934.286	2	0.3%
102.619.922	2	0.3%
913.185.964	2	0.3%
780.507.824	2	0.3%
983.228.221	2	0.3%
959.869.013	2	0.3%
Other values (345)	352	57.3%
(Missing)	242	39.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
337.440.681	2	0.5%
41.963.777	2	0.5%
470.933.698	2	0.5%
534.281.078	2	0.5%
927.108.978	2	0.5%
326.934.286	2	0.5%
102.619.922	2	0.5%
780.507.824	2	0.5%
913.185.964	2	0.5%
959.869.013	2	0.5%
Other values (345)	352	94.6%

Most occurring characters

Value	Count	Frequency (%)
.	743	18.3%
9	425	10.5%
8	373	9.2%
1	350	8.6%
3	342	8.4%
7	333	8.2%
5	311	7.7%
0	304	7.5%
4	297	7.3%
6	291	7.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3310	81.7%
Other Punctuation	743	18.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
9	425	12.8%
8	373	11.3%
1	350	10.6%
3	342	10.3%
7	333	10.1%
5	311	9.4%
0	304	9.2%
4	297	9.0%
6	291	8.8%
2	284	8.6%

Other Punctuation

Value	Count	Frequency (%)
.	743	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4053	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	743	18.3%
9	425	10.5%
8	373	9.2%
1	350	8.6%
3	342	8.4%
7	333	8.2%
5	311	7.7%
0	304	7.5%
4	297	7.3%
6	291	7.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4053	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	743	18.3%
9	425	10.5%
8	373	9.2%
1	350	8.6%
3	342	8.4%
7	333	8.2%
5	311	7.7%
0	304	7.5%
4	297	7.3%
6	291	7.2%

Indice_de_produccion_industrial_electricidad__gas_y_agua
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	82
Distinct (%)	97.6%
Missing	530
Missing (%)	86.3%
Memory size	4.9 KiB

107.666.732	2
108.792.744	2
111.046.063	1
108.502.235	1
102.825.581	1
Other values (77)	77

Length

Max length	11
Median length	11
Mean length	10.86904762
Min length	10

Characters and Unicode

Total characters	913
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	80 ?
Unique (%)	95.2%

Sample

1st row	103.655.736
2nd row	97.391.498
3rd row	104.907.399
4th row	992.049.154
5th row	101.106.965

Common Values

Value	Count	Frequency (%)
107.666.732	2	0.3%
108.792.744	2	0.3%
111.046.063	1	0.2%
108.502.235	1	0.2%
102.825.581	1	0.2%
103.484.336	1	0.2%
100.329.672	1	0.2%
112.435.619	1	0.2%
111.951.016	1	0.2%
105.816.937	1	0.2%
Other values (72)	72	11.7%
(Missing)	530	86.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
107.666.732	2	2.4%
108.792.744	2	2.4%
103.655.736	1	1.2%
111.046.063	1	1.2%
108.502.235	1	1.2%
102.825.581	1	1.2%
103.484.336	1	1.2%
100.329.672	1	1.2%
112.435.619	1	1.2%
111.951.016	1	1.2%
Other values (72)	72	85.7%

Most occurring characters

Value	Count	Frequency (%)
.	168	18.4%
1	145	15.9%
0	100	11.0%
9	78	8.5%
3	76	8.3%
6	64	7.0%
5	63	6.9%
2	61	6.7%
4	59	6.5%
7	52	5.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	745	81.6%
Other Punctuation	168	18.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	145	19.5%
0	100	13.4%
9	78	10.5%
3	76	10.2%
6	64	8.6%
5	63	8.5%
2	61	8.2%
4	59	7.9%
7	52	7.0%
8	47	6.3%

Other Punctuation

Value	Count	Frequency (%)
.	168	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	913	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	168	18.4%
1	145	15.9%
0	100	11.0%
9	78	8.5%
3	76	8.3%
6	64	7.0%
5	63	6.9%
2	61	6.7%
4	59	6.5%
7	52	5.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	913	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	168	18.4%
1	145	15.9%
0	100	11.0%
9	78	8.5%
3	76	8.3%
6	64	7.0%
5	63	6.9%
2	61	6.7%
4	59	6.5%
7	52	5.7%

Indice_de_produccion_industrial__manufacturera
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	340
Distinct (%)	94.4%
Missing	254
Missing (%)	41.4%
Memory size	4.9 KiB

68.979.954	3
689.318.173	3
578.603.662	2
749.489.103	2
847.965.195	2
Other values (335)	348

Length

Max length	11
Median length	11
Mean length	10.84722222
Min length	7

Characters and Unicode

Total characters	3905
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	322 ?
Unique (%)	89.4%

Sample

1st row	108.387.837
2nd row	104.545.429
3rd row	99.468.801
4th row	94.969.678
5th row	102.128.977

Common Values

Value	Count	Frequency (%)
68.979.954	3	0.5%
689.318.173	3	0.5%
578.603.662	2	0.3%
749.489.103	2	0.3%
847.965.195	2	0.3%
877.230.602	2	0.3%
90.137.453	2	0.3%
688.355.438	2	0.3%
105.596.535	2	0.3%
63.540.502	2	0.3%
Other values (330)	338	55.0%
(Missing)	254	41.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
68.979.954	3	0.8%
689.318.173	3	0.8%
63.540.502	2	0.6%
578.603.662	2	0.6%
749.489.103	2	0.6%
847.965.195	2	0.6%
877.230.602	2	0.6%
90.137.453	2	0.6%
688.355.438	2	0.6%
105.596.535	2	0.6%
Other values (330)	338	93.9%

Most occurring characters

Value	Count	Frequency (%)
.	719	18.4%
9	371	9.5%
1	350	9.0%
6	348	8.9%
7	346	8.9%
8	343	8.8%
0	298	7.6%
5	295	7.6%
3	290	7.4%
4	287	7.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3186	81.6%
Other Punctuation	719	18.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
9	371	11.6%
1	350	11.0%
6	348	10.9%
7	346	10.9%
8	343	10.8%
0	298	9.4%
5	295	9.3%
3	290	9.1%
4	287	9.0%
2	258	8.1%

Other Punctuation

Value	Count	Frequency (%)
.	719	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3905	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	719	18.4%
9	371	9.5%
1	350	9.0%
6	348	8.9%
7	346	8.9%
8	343	8.8%
0	298	7.6%
5	295	7.6%
3	290	7.4%
4	287	7.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3905	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	719	18.4%
9	371	9.5%
1	350	9.0%
6	348	8.9%
7	346	8.9%
8	343	8.8%
0	298	7.6%
5	295	7.6%
3	290	7.4%
4	287	7.3%

Generacion_de_energia_electrica_CDEC_GWh
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	262
Distinct (%)	99.2%
Missing	350
Missing (%)	57.0%
Memory size	4.9 KiB

654.060.172	2
6598	2
580.480.672	1
321.872.877	1
349.346.911	1
Other values (257)	257

Length

Max length	11
Median length	11
Mean length	10.37121212
Min length	4

Characters and Unicode

Total characters	2738
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	260 ?
Unique (%)	98.5%

Sample

1st row	580.480.672
2nd row	544.815.032
3rd row	56.891.916
4th row	56.594.867
5th row	586.329.899

Common Values

Value	Count	Frequency (%)
654.060.172	2	0.3%
6598	2	0.3%
580.480.672	1	0.2%
321.872.877	1	0.2%
349.346.911	1	0.2%
350.528.038	1	0.2%
334.305.635	1	0.2%
341.007.287	1	0.2%
344.551.857	1	0.2%
36.229.738	1	0.2%
Other values (252)	252	41.0%
(Missing)	350	57.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
654.060.172	2	0.8%
6598	2	0.8%
321.872.877	1	0.4%
321.558.139	1	0.4%
349.346.911	1	0.4%
350.528.038	1	0.4%
334.305.635	1	0.4%
341.007.287	1	0.4%
344.551.857	1	0.4%
348.904.773	1	0.4%
Other values (252)	252	95.5%

Most occurring characters

Value	Count	Frequency (%)
.	498	18.2%
4	284	10.4%
5	264	9.6%
6	250	9.1%
3	249	9.1%
7	221	8.1%
1	206	7.5%
9	206	7.5%
8	202	7.4%
2	201	7.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2240	81.8%
Other Punctuation	498	18.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	284	12.7%
5	264	11.8%
6	250	11.2%
3	249	11.1%
7	221	9.9%
1	206	9.2%
9	206	9.2%
8	202	9.0%
2	201	9.0%
0	157	7.0%

Other Punctuation

Value	Count	Frequency (%)
.	498	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2738	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	498	18.2%
4	284	10.4%
5	264	9.6%
6	250	9.1%
3	249	9.1%
7	221	8.1%
1	206	7.5%
9	206	7.5%
8	202	7.4%
2	201	7.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2738	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	498	18.2%
4	284	10.4%
5	264	9.6%
6	250	9.1%
3	249	9.1%
7	221	8.1%
1	206	7.5%
9	206	7.5%
8	202	7.4%
2	201	7.3%

Indice_de_ventas_comercio_real_IVCM
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	82
Distinct (%)	97.6%
Missing	530
Missing (%)	86.3%
Memory size	4.9 KiB

116.203.109	2
113.525.936	2
11.422.079	1
150.150.468	1
11.265.004	1
Other values (77)	77

Length

Max length	11
Median length	11
Mean length	10.9047619
Min length	9

Characters and Unicode

Total characters	916
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	80 ?
Unique (%)	95.2%

Sample

1st row	940.249.286
2nd row	911.554.678
3rd row	1.014.057
4th row	953.361.487
5th row	998.288.464

Common Values

Value	Count	Frequency (%)
116.203.109	2	0.3%
113.525.936	2	0.3%
11.422.079	1	0.2%
150.150.468	1	0.2%
11.265.004	1	0.2%
116.076.247	1	0.2%
108.642.161	1	0.2%
106.941.471	1	0.2%
111.068.792	1	0.2%
111.219.592	1	0.2%
Other values (72)	72	11.7%
(Missing)	530	86.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
116.203.109	2	2.4%
113.525.936	2	2.4%
940.249.286	1	1.2%
11.422.079	1	1.2%
150.150.468	1	1.2%
11.265.004	1	1.2%
116.076.247	1	1.2%
108.642.161	1	1.2%
106.941.471	1	1.2%
111.068.792	1	1.2%
Other values (72)	72	85.7%

Most occurring characters

Value	Count	Frequency (%)
.	168	18.3%
1	138	15.1%
0	97	10.6%
9	86	9.4%
3	75	8.2%
8	68	7.4%
4	66	7.2%
2	66	7.2%
7	56	6.1%
5	51	5.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	748	81.7%
Other Punctuation	168	18.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	138	18.4%
0	97	13.0%
9	86	11.5%
3	75	10.0%
8	68	9.1%
4	66	8.8%
2	66	8.8%
7	56	7.5%
5	51	6.8%
6	45	6.0%

Other Punctuation

Value	Count	Frequency (%)
.	168	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	916	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	168	18.3%
1	138	15.1%
0	97	10.6%
9	86	9.4%
3	75	8.2%
8	68	7.4%
4	66	7.2%
2	66	7.2%
7	56	6.1%
5	51	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	916	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	168	18.3%
1	138	15.1%
0	97	10.6%
9	86	9.4%
3	75	8.2%
8	68	7.4%
4	66	7.2%
2	66	7.2%
7	56	6.1%
5	51	5.6%

Indice_de_ventas_comercio_real_no_durables_IVCM
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	82
Distinct (%)	97.6%
Missing	530
Missing (%)	86.3%
Memory size	4.9 KiB

107.385.297	2
103.995.337	2
106.510.546	1
142.725.968	1
106.018.941	1
Other values (77)	77

Length

Max length	11
Median length	11
Mean length	10.91666667
Min length	7

Characters and Unicode

Total characters	917
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	80 ?
Unique (%)	95.2%

Sample

1st row	943.909.236
2nd row	928.126.259
3rd row	101.583.412
4th row	963.546.529
5th row	998.625.376

Common Values

Value	Count	Frequency (%)
107.385.297	2	0.3%
103.995.337	2	0.3%
106.510.546	1	0.2%
142.725.968	1	0.2%
106.018.941	1	0.2%
107.351.376	1	0.2%
102.861.004	1	0.2%
101.140.722	1	0.2%
105.120.512	1	0.2%
104.502.285	1	0.2%
Other values (72)	72	11.7%
(Missing)	530	86.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
107.385.297	2	2.4%
103.995.337	2	2.4%
943.909.236	1	1.2%
106.510.546	1	1.2%
142.725.968	1	1.2%
106.018.941	1	1.2%
107.351.376	1	1.2%
102.861.004	1	1.2%
101.140.722	1	1.2%
105.120.512	1	1.2%
Other values (72)	72	85.7%

Most occurring characters

Value	Count	Frequency (%)
.	167	18.2%
1	137	14.9%
0	103	11.2%
9	79	8.6%
8	70	7.6%
3	69	7.5%
7	63	6.9%
6	61	6.7%
2	60	6.5%
5	57	6.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	750	81.8%
Other Punctuation	167	18.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	137	18.3%
0	103	13.7%
9	79	10.5%
8	70	9.3%
3	69	9.2%
7	63	8.4%
6	61	8.1%
2	60	8.0%
5	57	7.6%
4	51	6.8%

Other Punctuation

Value	Count	Frequency (%)
.	167	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	917	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	167	18.2%
1	137	14.9%
0	103	11.2%
9	79	8.6%
8	70	7.6%
3	69	7.5%
7	63	6.9%
6	61	6.7%
2	60	6.5%
5	57	6.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	917	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	167	18.2%
1	137	14.9%
0	103	11.2%
9	79	8.6%
8	70	7.6%
3	69	7.5%
7	63	6.9%
6	61	6.7%
2	60	6.5%
5	57	6.2%

Indice_de_ventas_comercio_real_durables_IVCM
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	83
Distinct (%)	97.6%
Missing	529
Missing (%)	86.2%
Memory size	4.9 KiB

15.342.321	2
15.375.472	2
146.765.828	1
181.489.379	1
140.639.995	1
Other values (78)	78

Length

Max length	11
Median length	11
Mean length	10.84705882
Min length	10

Characters and Unicode

Total characters	922
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	81 ?
Unique (%)	95.3%

Sample

1st row	924.800.591
2nd row	841.605.817
3rd row	100.655.575
4th row	910.370.289
5th row	996.866.358

Common Values

Value	Count	Frequency (%)
15.342.321	2	0.3%
15.375.472	2	0.3%
146.765.828	1	0.2%
181.489.379	1	0.2%
140.639.995	1	0.2%
152.904.045	1	0.2%
133.044.498	1	0.2%
131.426.508	1	0.2%
13.617.656	1	0.2%
139.573.432	1	0.2%
Other values (73)	73	11.9%
(Missing)	529	86.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
15.342.321	2	2.4%
15.375.472	2	2.4%
924.800.591	1	1.2%
13.617.656	1	1.2%
13.051.384	1	1.2%
181.489.379	1	1.2%
140.639.995	1	1.2%
152.904.045	1	1.2%
133.044.498	1	1.2%
131.426.508	1	1.2%
Other values (73)	73	85.9%

Most occurring characters

Value	Count	Frequency (%)
.	170	18.4%
1	129	14.0%
5	83	9.0%
3	73	7.9%
4	72	7.8%
8	70	7.6%
6	69	7.5%
7	69	7.5%
9	65	7.0%
2	65	7.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	752	81.6%
Other Punctuation	170	18.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	129	17.2%
5	83	11.0%
3	73	9.7%
4	72	9.6%
8	70	9.3%
6	69	9.2%
7	69	9.2%
9	65	8.6%
2	65	8.6%
0	57	7.6%

Other Punctuation

Value	Count	Frequency (%)
.	170	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	922	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	170	18.4%
1	129	14.0%
5	83	9.0%
3	73	7.9%
4	72	7.8%
8	70	7.6%
6	69	7.5%
7	69	7.5%
9	65	7.0%
2	65	7.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	922	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	170	18.4%
1	129	14.0%
5	83	9.0%
3	73	7.9%
4	72	7.8%
8	70	7.6%
6	69	7.5%
7	69	7.5%
9	65	7.0%
2	65	7.0%

Ventas_autos_nuevos
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	143
Distinct (%)	98.6%
Missing	469
Missing (%)	76.4%
Infinite	0
Infinite (%)	0.0%
Mean	26694.08276

Minimum	4658
Maximum	39263
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.9 KiB

Quantile statistics

Minimum	4658
5-th percentile	11480
Q1	23701
median	27912
Q3	31800
95-th percentile	36483
Maximum	39263
Range	34605
Interquartile range (IQR)	8099

Descriptive statistics

Standard deviation	7170.231956
Coefficient of variation (CV)	0.268607542
Kurtosis	0.7946291008
Mean	26694.08276
Median Absolute Deviation (MAD)	4156
Skewness	-0.8758321427
Sum	3870642
Variance	51412226.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
33059	2	0.3%
38729	2	0.3%
28577	1	0.2%
19725	1	0.2%
6706	1	0.2%
6703	1	0.2%
11991	1	0.2%
4658	1	0.2%
11584	1	0.2%
29587	1	0.2%
Other values (133)	133	21.7%
(Missing)	469	76.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4658	1	0.2%
6703	1	0.2%
6706	1	0.2%
8681	1	0.2%
8906	1	0.2%
8971	1	0.2%
10058	1	0.2%
11454	1	0.2%
11584	1	0.2%
11991	1	0.2%

Value	Count	Frequency (%)
39263	1	0.2%
38729	2	0.3%
38025	1	0.2%
37925	1	0.2%
37132	1	0.2%
36595	1	0.2%
36543	1	0.2%
36243	1	0.2%
35470	1	0.2%
35461	1	0.2%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Periodo	Imacec_empalmado	Imacec_produccion_de_bienes	Imacec_minero	Imacec_industria	Imacec_resto_de_bienes	Imacec_comercio	Imacec_servicios	Imacec_a_costo_de_factores	Imacec_no_minero	PIB_Agropecuario_silvicola	PIB_Pesca	PIB_Mineria	PIB_Mineria_del_cobre	PIB_Otras_actividades_mineras	PIB_Industria_Manufacturera	PIB_Alimentos	PIB_Bebidas_y_tabaco	PIB_Textil	PIB_Maderas_y_muebles	PIB_Celulosa	PIB_Refinacion_de_petroleo	PIB_Quimica	PIB_Minerales_no_metalicos_y_metalica_basica	PIB_Productos_metalicos	PIB_Electricidad	PIB_Construccion	PIB_Comercio	PIB_Restaurantes_y_hoteles	PIB_Transporte	PIB_Comunicaciones	PIB_Servicios_financieros	PIB_Servicios_empresariales	PIB_Servicios_de_vivienda	PIB_Servicios_personales	PIB_Administracion_publica	PIB_a_costo_de_factores	Impuesto_al_valor_agregado	Derechos_de_Importacion	PIB	Precio_de_la_gasolina_en_EEUU_dolaresm3	Precio_de_la_onza_troy_de_oro_dolaresoz	Precio_de_la_onza_troy_de_plata_dolaresoz	Precio_del_cobre_refinado_BML_dolareslibra	Precio_del_diesel_centavos_de_dolargalon	Precio_del_gas_natural_dolaresmillon_de_unidades_termicas_britanicas	Precio_del_petroleo_Brent_dolaresbarril	Precio_del_kerosene_dolaresm3	Precio_del_petroleo_WTI_dolaresbarril	Precio_del_propano_centavos_de_dolargalon_DTN	Tipo_de_cambio_del_dolar_observado_diario	Ocupados	Ocupacion_en_Agricultura_INE	Ocupacion_en_Explotacion_de_minas_y_canteras_INE	Ocupacion_en_Industrias_manufactureras_INE	Ocupacion_en_Suministro_de_electricidad_INE	Ocupacion_en_Actividades_de_servicios_administrativos_y_de_apoyo_INE	Ocupacion_en_Actividades_profesionales_INE	Ocupacion_en_Actividades_inmobiliarias_INE	Ocupacion_en_Actividades_financieras_y_de_seguros_INE	Ocupacion_en_Informacion_y_comunicaciones_INE	Ocupacion_en_Transporte_y_almacenamiento_INE	Ocupacion_en_Actividades_de_alojamiento_y_de_servicio_de_comidas_INE	Ocupacion_en_Construccion_INE	Ocupacion_en_Comercio_INE	Ocupacion_en_Suministro_de_agua_evacuacion_de_aguas_residuales_INE	Ocupacion_en_Administracion_publica_y_defensa_INE	Ocupacion_en_Enseanza_INE	Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE	Ocupacion_en_Actividades_artisticas_INE	Ocupacion_en_Otras_actividades_de_servicios_INE	Ocupacion_en_Actividades_de_los_hogares_como_empleadores_INE	Ocupacion_en_Actividades_de_organizaciones_y_organos_extraterritoriales_INE	No_sabe__No_responde_Miles_de_personas	Tipo_de_cambio_nominal_multilateral___TCM	Indice_de_tipo_de_cambio_real___TCR_promedio_1986_100	Indice_de_produccion_industrial	Indice_de_produccion_industrial__mineria	Indice_de_produccion_industrial_electricidad__gas_y_agua	Indice_de_produccion_industrial__manufacturera	Generacion_de_energia_electrica_CDEC_GWh	Indice_de_ventas_comercio_real_IVCM	Indice_de_ventas_comercio_real_no_durables_IVCM	Indice_de_ventas_comercio_real_durables_IVCM	Ventas_autos_nuevos
0	2013-03-01 00:00:00 UTC	102.796.218	10.546.824	978.554.365	102.297.537	114.994.919	110.729.395	100.064.328	103.163.651	103.405.852	579.846.819	570.624.122	123.491.343	110.356.254	131.350.889	130.648.285	367.818.436	162.692.807	330.305.467	643.366.109	974.948.182	103.469.519	184.460.073	807.709.837	212.409.058	301.314.934	710.242.818	115.489.064	202.838.669	546.694.889	337.915.263	5.691.837	11.393.886	793.471.519	140.103.913	512.994.015	108.482.797	896.688.023	659.936.009	118.109.613	7.638.022	1593.60	288.157	347.586.864	301.11	3.8117	109.24	76.520.246	92.91	89.171	472.484	799.068.585	798.092.771	258.428.756	901.504.814	360.108.494	18.951.548	229.653.619	547.033.124	19.153.327	155.736.824	498.854.717	341.857.582	682.423.108	151.916.628	349.444.258	445.435.266	587.837.412	362.517.856	82.567.788	201.875.908	416.124.956	190.085.519	NaN	93.621	865.903.468	102.761.705	98.915.705	NaN	108.387.837	580.480.672	NaN	NaN	NaN	28577.0
1	2013-04-01 00:00:00 UTC	101.664.842	999.272.757	927.333.293	104.485.589	102.199.311	106.098.291	102.600.107	101.937.319	102.766.884	374.895.706	606.504.665	11.702.736	10.358.806	134.393.001	133.442.735	38.211.344	188.189.562	380.345.362	684.106.836	945.996.965	824.530.386	172.638.981	831.959.074	224.791.502	280.438.294	749.055.837	110.658.893	209.310.713	544.306.818	348.801.015	565.071.466	121.229.491	80.455.108	144.685.333	511.803.995	107.193.235	901.755.563	59.890.634	116.809.697	71.088.294	1485.03	252.768	326.742.266	287.60	4.1674	102.87	71.791.066	92.02	93.857	472.137.273	801.906.655	748.761.346	25.564.008	872.935.008	35.161.487	189.184.206	245.403.126	517.938.307	200.181.753	163.543.996	50.361.222	31.736.525	714.330.143	155.050.122	357.165.171	437.306.264	609.994.331	36.143.856	897.101.326	202.053.864	433.420.434	101.278.125	NaN	934.109.091	867.806.065	968.087.179	914.276.663	NaN	104.545.429	544.815.032	NaN	NaN	NaN	32206.0
2	2013-05-01 00:00:00 UTC	101.642.954	993.959.922	96.133.164	105.445.361	968.789.055	100.462.117	104.083.216	101.953.299	102.322.796	311.356.127	545.573.168	121.317.874	107.784.409	135.334.655	134.668.498	37.345.015	184.115.565	342.850.811	686.925.227	104.685.345	101.629.225	173.785.919	778.426.782	228.198.491	274.899.817	74.795.834	10.478.045	206.481.563	536.681.481	355.711.814	571.394.036	125.792.137	805.307.434	147.859.706	512.469.359	107.210.039	913.850.432	436.004.645	116.784.548	7.166.425	1416.59	230.894	327.913	284.56	4.0423	103.03	71.318.148	94.76	93.351	479.582.857	801.826.939	689.928.412	2.630.406	885.031.604	370.478.187	183.186.272	259.778.478	523.538.906	204.803.422	164.546.013	502.470.761	30.683.457	703.343.896	15.611.683	387.134.632	429.622.301	63.826.243	364.909.451	928.991.289	200.806.454	438.571.154	95.097.066	NaN	944.752.381	878.030.947	978.471.874	966.913.278	NaN	99.468.801	56.891.916	NaN	NaN	NaN	31589.0
3	2013-06-01 00:00:00 UTC	998.310.201	968.367.884	102.400.933	999.212.106	89.190.493	939.504.414	103.857.161	100.222.381	995.139.235	246.592.082	418.668.119	129.227.656	115.404.932	138.227.237	127.613.384	323.857.815	17.224.193	290.637.238	667.221.833	102.091.894	100.279.607	187.920.877	716.634.523	222.292.356	270.141.266	719.957.056	979.888.723	208.021.235	526.589.163	353.452.988	573.271.479	125.565.876	811.366.828	146.903.407	514.736.611	105.389.875	883.855.814	474.261.003	114.702.694	70.787.106	1342.47	211.186	317.701.624	285.99	3.8246	103.11	72.065.834	95.79	86.188	502.886	800.424.589	643.035.387	271.231.704	893.552.645	393.545.812	174.068.814	256.673.756	541.516.672	19.556.226	167.439.052	514.471.177	30.862.596	698.814.201	156.308.276	398.815.137	429.793.264	648.435.359	364.323.921	922.830.791	201.437.383	447.361.174	66.623.637	NaN	985.085	913.180.348	966.647.135	981.820.974	NaN	94.969.678	56.594.867	NaN	NaN	NaN	28457.0
4	2013-07-01 00:00:00 UTC	964.696.194	961.051.418	980.029.022	100.882.112	901.785.886	92.776.599	969.309.272	962.069.134	962.804.305	201.156.433	565.897.618	123.677.441	10.915.864	145.188.012	128.840.589	327.206.582	163.572.934	277.405.414	692.167.097	10.693.519	102.108.993	179.849.331	763.622.688	23.541.334	293.379.905	741.595.595	967.645.727	212.827.237	536.446.432	353.028.667	574.971.364	124.038.548	813.086.052	108.506.835	515.375.539	101.167.369	912.662.417	546.557.712	11.084.055	75.233.592	1288.01	197.571	312.663.522	298.09	3.6242	107.72	7.488.749	104.70	92.179	504.962.273	798.681.519	625.955.595	268.516.519	90.967.219	422.440.362	163.224.557	249.403.461	685.736.504	190.390.057	158.353.388	509.933.563	326.787.184	685.679.331	1.561.431	397.905.417	421.899.254	675.429.113	367.557.412	961.558.663	187.860.463	436.743.687	121.432.645	NaN	982.236.364	909.263.447	100.100.749	990.198.382	NaN	102.128.977	586.329.899	NaN	NaN	NaN	31736.0
5	2013-08-01 00:00:00 UTC	993.089.872	959.559.679	102.692.682	99.581.119	867.956.695	940.499.299	102.531.671	992.062.162	988.914.796	164.442.453	383.205.833	129.595.837	115.632.385	139.634.515	127.179.039	319.607.283	164.911.305	279.789.343	678.351.474	105.715.824	968.810.918	193.952.851	741.481.188	220.759.836	291.412.898	750.051.178	980.926.373	211.268.013	540.388.112	352.172.135	578.992.271	119.632.005	814.445.208	142.856.829	51.707.529	104.321.316	919.935.114	582.227.245	114.102.895	75.516.286	1353.68	221.349	325.785.176	304.16	3.4240	110.97	77.006.374	106.55	106.176	512.588.571	800.857.678	630.589.029	262.440.542	910.927.777	392.675.058	163.608.943	247.125.435	706.500.119	196.804.463	153.633.456	523.609.393	314.039.287	691.034.832	156.293.431	410.347.729	41.632.397	684.208.267	371.144.123	108.706.852	193.833.718	425.277.775	138.231.188	NaN	997.733.333	924.327.171	100.982.205	100.650.063	NaN	102.477.451	581.916.587	NaN	NaN	NaN	27984.0
6	2013-09-01 00:00:00 UTC	950.851.786	913.878.449	103.290.693	903.876.015	818.004.363	877.378.053	98.778.461	9.489.134	940.727.157	160.477.314	38.894.818	130.350.514	116.426.531	139.239.832	115.437.629	26.903.761	16.188.931	263.089.461	587.157.951	974.840.776	101.446.912	175.552.261	643.792.635	19.956.212	295.928.009	677.319.658	91.509.188	214.948.942	522.534.625	350.536.876	575.223.161	119.033.996	816.734.407	124.279.989	5.196.854	997.839.638	889.834.518	567.562.681	109.249.872	68.750.124	1350.79	226.009	324.840.334	301.51	3.6154	111.62	76.678.766	106.25	110.738	504.57	80.108.426	622.841.156	258.601.644	932.878.606	349.738.637	160.461.593	254.473.527	753.165.571	192.214.998	160.669.968	513.474.148	306.144.906	680.073.337	157.232.856	453.850.945	416.148.722	687.908.172	368.867.999	108.580.053	194.131.279	422.507.539	286.087.435	NaN	982.022.222	9.091.755	953.781.211	999.413.903	NaN	90.189.758	540.682.811	NaN	NaN	NaN	32220.0
7	2013-10-01 00:00:00 UTC	102.727.926	101.742.025	106.829.225	102.778.378	9.634.026	978.012.485	104.484.802	102.785.719	102.221.875	221.537.727	729.880.253	134.816.061	11.914.387	156.721.905	131.262.387	332.156.661	163.386.082	351.670.674	697.796.583	100.745.164	867.785.395	206.593.736	856.227.102	232.394.253	309.781.655	776.742.641	102.005.205	215.304.331	564.507.613	376.139.453	573.619.706	121.332.368	812.608.461	147.113.476	520.013.321	108.085.379	937.537.895	570.389.466	118.031.147	65.685.404	1315.89	220.061	326.079.107	293.60	3.6751	109.48	76.015.624	100.50	113.472	500.806.364	802.959.737	617.614.843	259.591.002	921.094.885	331.917.239	165.288.709	256.954.505	734.249.956	191.689.106	171.779.053	516.649.307	302.878.966	673.738.075	157.098.982	433.120.175	423.307.678	699.386.802	373.953.321	108.119.517	216.000.416	406.585.395	404.723.309	NaN	983.959.091	909.270.935	104.054.621	104.866.643	NaN	104.775.367	577.575.914	NaN	NaN	NaN	31380.0
8	2013-11-01 00:00:00 UTC	105.750.158	103.950.101	108.805.134	100.421.866	10.281.939	990.638.058	108.478.482	105.833.941	10.537.321	258.440.296	671.917.472	137.309.613	121.969.788	153.398.247	128.252.791	324.699.027	162.586.968	316.389.079	676.444.763	102.836.976	819.567.375	202.896.932	76.997.862	231.270.026	303.561.665	844.735.502	103.322.033	228.180.032	560.489.808	396.580.189	576.603.175	134.694.254	852.677.224	148.348.667	521.343.578	111.290.768	969.553.876	517.290.147	121.503.597	64.760.704	1275.18	206.932	320.529.801	285.67	3.6196	108.08	74.443.634	93.89	118.086	519.25	80.671.274	628.110.671	263.251.118	909.999.631	332.188.151	183.561.196	257.621.563	693.810.323	183.212.117	178.184.407	514.296.669	316.195.979	682.130.121	157.609.468	416.627.202	424.697.976	697.236.137	372.592.794	112.433.258	226.491.793	392.439.378	43.153.476	NaN	101.162	929.594.435	104.115.839	106.068.198	NaN	103.490.814	560.293.741	NaN	NaN	NaN	34358.0
9	2013-12-01 00:00:00 UTC	108.648.049	111.725.441	110.363.063	102.233.834	121.381.024	122.601.199	101.546.979	107.480.495	108.436.436	334.619.379	549.444.364	139.275.684	125.396.259	138.794.251	130.566.928	311.290.005	178.777.903	327.481.027	687.326.006	109.431.003	107.288.439	190.059.186	659.725.933	241.369.448	317.129.934	103.331.888	127.871.174	228.288.062	568.075.662	39.340.927	59.359.676	132.993.048	860.073.294	108.640.555	525.292.349	113.022.219	113.251.553	485.807.253	124.833.182	66.533.486	1221.50	196.507	326.723.669	295.84	4.2359	110.67	77.312.846	97.85	127.431	5.294.505	814.938.906	667.263.152	264.308.619	915.165.639	353.884.916	205.257.837	261.348.806	688.290.508	177.485.685	181.142.524	511.797.953	31.113.056	695.756.933	1.589.515	421.167.382	428.657.569	698.132.801	376.213.717	114.116.527	226.584.109	374.209.893	496.744.993	NaN	102.775	94.263.005	105.004.191	107.871.742	NaN	101.772.627	590.399.976	NaN	NaN	NaN	38025.0

Last rows

	Periodo	Imacec_empalmado	Imacec_produccion_de_bienes	Imacec_minero	Imacec_industria	Imacec_resto_de_bienes	Imacec_comercio	Imacec_servicios	Imacec_a_costo_de_factores	Imacec_no_minero	PIB_Agropecuario_silvicola	PIB_Pesca	PIB_Mineria	PIB_Mineria_del_cobre	PIB_Otras_actividades_mineras	PIB_Industria_Manufacturera	PIB_Alimentos	PIB_Bebidas_y_tabaco	PIB_Textil	PIB_Maderas_y_muebles	PIB_Celulosa	PIB_Refinacion_de_petroleo	PIB_Quimica	PIB_Minerales_no_metalicos_y_metalica_basica	PIB_Productos_metalicos	PIB_Electricidad	PIB_Construccion	PIB_Comercio	PIB_Restaurantes_y_hoteles	PIB_Transporte	PIB_Comunicaciones	PIB_Servicios_financieros	PIB_Servicios_empresariales	PIB_Servicios_de_vivienda	PIB_Servicios_personales	PIB_Administracion_publica	PIB_a_costo_de_factores	Impuesto_al_valor_agregado	Derechos_de_Importacion	PIB	Precio_de_la_gasolina_en_EEUU_dolaresm3	Precio_de_la_onza_troy_de_oro_dolaresoz	Precio_de_la_onza_troy_de_plata_dolaresoz	Precio_del_cobre_refinado_BML_dolareslibra	Precio_del_diesel_centavos_de_dolargalon	Precio_del_gas_natural_dolaresmillon_de_unidades_termicas_britanicas	Precio_del_petroleo_Brent_dolaresbarril	Precio_del_kerosene_dolaresm3	Precio_del_petroleo_WTI_dolaresbarril	Precio_del_propano_centavos_de_dolargalon_DTN	Tipo_de_cambio_del_dolar_observado_diario	Ocupados	Ocupacion_en_Agricultura_INE	Ocupacion_en_Explotacion_de_minas_y_canteras_INE	Ocupacion_en_Industrias_manufactureras_INE	Ocupacion_en_Suministro_de_electricidad_INE	Ocupacion_en_Actividades_de_servicios_administrativos_y_de_apoyo_INE	Ocupacion_en_Actividades_profesionales_INE	Ocupacion_en_Actividades_inmobiliarias_INE	Ocupacion_en_Actividades_financieras_y_de_seguros_INE	Ocupacion_en_Informacion_y_comunicaciones_INE	Ocupacion_en_Transporte_y_almacenamiento_INE	Ocupacion_en_Actividades_de_alojamiento_y_de_servicio_de_comidas_INE	Ocupacion_en_Construccion_INE	Ocupacion_en_Comercio_INE	Ocupacion_en_Suministro_de_agua_evacuacion_de_aguas_residuales_INE	Ocupacion_en_Administracion_publica_y_defensa_INE	Ocupacion_en_Enseanza_INE	Ocupacion_en_Actividades_de_atencion_de_la_salud_humana_y_de_asistencia_social_INE	Ocupacion_en_Actividades_artisticas_INE	Ocupacion_en_Otras_actividades_de_servicios_INE	Ocupacion_en_Actividades_de_los_hogares_como_empleadores_INE	Ocupacion_en_Actividades_de_organizaciones_y_organos_extraterritoriales_INE	No_sabe__No_responde_Miles_de_personas	Tipo_de_cambio_nominal_multilateral___TCM	Indice_de_tipo_de_cambio_real___TCR_promedio_1986_100	Indice_de_produccion_industrial	Indice_de_produccion_industrial__mineria	Indice_de_produccion_industrial_electricidad__gas_y_agua	Indice_de_produccion_industrial__manufacturera	Generacion_de_energia_electrica_CDEC_GWh	Indice_de_ventas_comercio_real_IVCM	Indice_de_ventas_comercio_real_no_durables_IVCM	Indice_de_ventas_comercio_real_durables_IVCM	Ventas_autos_nuevos
604	2008-03-01 00:00:00 UTC	866.554.543	965.867.057	967.609.163	977.023.166	966.154.299	800.317.168	812.428.582	875.577.442	850.615.581	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	6.771.446	960.88	191.0620	382.803.683	315.35	9.4110	103.24	78.409.276	105.47	147.403	442.942	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	94.819	848.896.632	NaN	914.004.965	NaN	102.209.434	476.533.416	NaN	NaN	NaN	NaN
605	2008-04-01 00:00:00 UTC	843.963.122	895.163.152	895.771.279	967.044.359	840.480.383	767.984.823	831.999.669	850.698.948	837.978.944	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	7.383.069	910.35	175.1160	393.945.841	334.01	10.1800	110.19	83.204.506	112.62	158.650	446.433.636	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	961.368.182	87.140.028	NaN	848.484.895	NaN	101.331.474	444.987.177	NaN	NaN	NaN	NaN
606	2008-05-01 00:00:00 UTC	843.098.456	907.127.766	977.365.606	91.594.409	809.123.192	702.943.122	83.455.445	850.215.392	820.234.106	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	8.202.089	890.80	170.9260	380.239.046	373.11	11.2676	123.94	94.459.426	125.37	169.783	470.1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1.008.645	914.746.938	NaN	909.090.959	NaN	941.614.465	461.900.742	NaN	NaN	NaN	NaN
607	2008-06-01 00:00:00 UTC	832.282.514	894.338.305	971.978.068	913.521.376	775.890.301	671.197.052	831.948.736	840.162.493	808.248.038	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	86.639.106	890.55	170.1860	374.698.358	384.38	12.6824	133.05	99.619.252	133.93	180.816	493.612.381	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	106.345.238	968.791.455	NaN	941.031.993	NaN	932.834.865	466.175.694	NaN	NaN	NaN	NaN
608	2008-07-01 00:00:00 UTC	800.867.382	873.097.585	957.641.182	885.628.918	750.416.801	657.581.219	780.398.173	80.578.761	773.165.884	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	8.334.189	940.02	180.7730	381.658.351	381.20	11.0836	133.90	98.750.034	133.38	187.875	502.241.364	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	108.940.455	997.470.892	NaN	868.140.916	NaN	965.026.769	477.918.238	NaN	NaN	NaN	NaN
609	2008-08-01 00:00:00 UTC	792.872.358	809.540.557	844.433.727	862.655.599	721.027.743	640.625.573	829.163.596	799.073.886	786.659.097	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	77.645.738	836.84	145.0180	34.630.772	324.06	8.2514	113.85	83.273.198	116.64	164.197	516.702	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1.103.855	99.298.129	NaN	847.665.895	NaN	905.764.363	475.746.478	NaN	NaN	NaN	NaN
610	2008-09-01 00:00:00 UTC	786.802.278	814.228.983	875.931.483	85.990.071	693.602.068	629.581.947	810.645.789	791.396.405	772.867.447	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	77.703.862	828.80	12.2645	317.103.329	307.12	7.6211	99.06	76.647.062	103.94	153.897	530.17	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1.103.225	972.530.264	NaN	859.131.907	NaN	894.789.858	453.055.435	NaN	NaN	NaN	NaN
611	2008-10-01 00:00:00 UTC	841.834.519	896.565.998	980.164.017	889.145.021	79.386.738	653.517.611	856.040.952	85.038.187	818.131.883	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	46.950.982	805.06	10.3629	223.428.286	230.25	6.7361	72.84	57.867.726	76.61	103.131	618.394.545	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	121.927.273	105.609.319	NaN	902.538.952	NaN	981.854.401	478.309.081	NaN	NaN	NaN	NaN
612	2008-11-01 00:00:00 UTC	82.846.325	845.666.687	864.252.442	83.063.253	843.834.773	638.884.202	881.094.389	838.436.575	825.672.572	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	31.881.014	760.66	9.8702	168.602.014	184.22	6.6967	53.24	47.349.924	57.29	73.445	6.515.055	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	125.935	10.738.286	NaN	877.968.927	NaN	914.543.986	466.174.958	NaN	NaN	NaN	NaN
613	2008-12-01 00:00:00 UTC	881.247.458	983.189.901	10.705.794	888.736.894	955.925.017	810.432.344	820.841.346	887.995.505	847.322.725	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	24.707.984	825.74	10.4016	139.344.099	136.12	5.8362	41.58	35.458.282	41.44	61.708	6.493.165	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1.260.535	107.490.006	NaN	959.869.013	NaN	934.298.114	487.878.953	NaN	NaN	NaN	NaN

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